2020 5th International Conference on Computer and Communication Systems (ICCCS)最新文献_第9页

Fast Detection Model of Untrusted Nodes in Fog Computing Based on CGAN 基于CGAN的雾计算不可信节点快速检测模型

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118577

Jingcheng Ye, Yunjie Fang, Xingda Bao

引用次数: 0

High-Performance Computation of LGCA Fluid Dynamics on an FPGA-Based Platform 基于fpga平台的LGCA流体动力学高性能计算

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118557

Changdao Du, Iman Firmansyah, Y. Yamaguchi

{"title":"High-Performance Computation of LGCA Fluid Dynamics on an FPGA-Based Platform","authors":"Changdao Du, Iman Firmansyah, Y. Yamaguchi","doi":"10.1109/ICCCS49078.2020.9118557","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118557","url":null,"abstract":"Lattice Gas Cellular Automata (LGCA) simulations are typical High-Performance Computing (HPC) applications commonly used to simulate fluid flows. Due to the computational locality and discretization of LGCA, these simulations can achieve high performance by using parallel computing devices like GPUs or multi-core CPUs. Nevertheless, many studies also have shown that state-of-the-art Field Programmable Gate Arrays (FPGAs) have enormous parallel computing potential and power-efficient for high-performance computations. In this paper, we present an FPGA-based fluid simulation architecture design for the LGCA method. Our design exploits both temporal and spatial parallelism inside the LGCA algorithm to scale up the performance on FPGA. We also propose an application-specific cache structure to overcome the memory bandwidth bottleneck. Furthermore, our development process is based on the High-Level Synthesis (HLS) approach that increases productivity. Experimental results on a Xilinx Vcu 1525 FPGA show that our design is able to achieve 17130.2 Million Lattice Updates Per Second (MLUPS).","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"1 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":"130571221","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

Data Classification and Weighted Evidence Accumulation to Detect Relevant Pathology 数据分类和加权证据积累检测相关病理

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118422

Fahimeh Nezhadalinaei, Lei Zhang, R. Ghaemi, Faezeh Jamshidi

{"title":"Data Classification and Weighted Evidence Accumulation to Detect Relevant Pathology","authors":"Fahimeh Nezhadalinaei, Lei Zhang, R. Ghaemi, Faezeh Jamshidi","doi":"10.1109/ICCCS49078.2020.9118422","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118422","url":null,"abstract":"Cancer is considered as one of the world’s most serious illnesses. There are more than 100 types of cancer, which can bring major national burden for countries. MicroRNAs (miRNAs) are a class of small noncoding ribonucleic acids (RNAs) that have a crucial part of cancer tissue formation and some miRNAs are differentially expressed in a normal and cancerous tumor. Therefore, it is possible to diagnose cancer by analysis of individual’s miRNAs, which it is not an easy process, because of the huge number of miRNAs. In this regard, informative miRNAs selection can play an important role to diagnose cancer. The interest of this paper is to improve the performance of miRNAs selection by using different classification methods on representative miRNAs of normal and cancer class, which is determined based on FMIMS and combine its results by our proposed approach named Weighted Evidence Accumulation (W-EAC). The performances of this method are evaluated on Gene Expression Omnibus (GEO repository) consisting of the samples from Pancreas Cancer, Nasopharyngeal Cancer, Colorectal Cancer, Lung Cancer and Melanoma Cancer.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"24 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":"122297890","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

An Effective Nuclear Extraction Mask Method for SVM Classification 一种有效的SVM分类核提取掩码方法

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118498

Qinghua Li, Hailong Ma, Zhao Zhang, Chao Feng

引用次数: 0

A Rapid Assessment Method for Seismic Intensity Area and Affecting Field Direction Using Mobile Phone Base Stations 基于移动电话基站的地震烈度区域及影响场向快速评估方法

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118509

Shuang Cao, Yulong Wang, Xiaoxiang Wang, Qi Li

{"title":"A Rapid Assessment Method for Seismic Intensity Area and Affecting Field Direction Using Mobile Phone Base Stations","authors":"Shuang Cao, Yulong Wang, Xiaoxiang Wang, Qi Li","doi":"10.1109/ICCCS49078.2020.9118509","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118509","url":null,"abstract":"Rapid assessment of disaster information such as seismic intensity area and affecting field direction after an earthquake is important for rescue. However, seismic equipment has limited coverage and need a long time to assess disasters. Compared to seismic equipment, mobile phone base stations have wider coverage, higher density, and faster response to the damage, which can be used to quickly assess earthquake disasters. Existing methods only take damaged base stations into calculation and treat them as identical, but they should have different contributions in different conditions. In our algorithm, both damaged base stations and normal base stations are considered altogether. In order to make full use of the information, we increase the sampling points, reasonably calculate by kernel density method, and propose the concept of “damage ratio” to determine the weight of all points. Finally, the weighted standard deviation ellipse algorithm is used to obtain the seismic intensity area and affecting field direction. This method can be verified to be better than the traditional method through the real earthquake case.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"50 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":"128796739","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

Single I mage Haze Removal Based on Concentration Scale Prior 基于浓度尺度先验的单幅图像雾霾去除

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118551

Dongyang Li, Guiying Tang, Li Zhao, Xiaoqin Zhang, X. Ye

引用次数: 1

Cross-domain Authentication Mechanism for Power Terminals Based on Blockchain and Credibility Evaluation 基于区块链和可信度评估的电力终端跨域认证机制

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118421

Xinyan Wang, Feng Gao, Jing Zhang, Xiaoke Feng, Xing Hu

引用次数: 6

Automatic Modeling System for Skeleton Model of Aircraft with Complex Surfaces 复杂曲面飞机骨架模型自动建模系统

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118536

Dangdang Zheng, Bing Han, Geng Liu, R. Tong

引用次数: 0

A study on IMU-Based Human Activity Recognition Using Deep Learning and Traditional Machine Learning 基于imu的深度学习与传统机器学习的人体活动识别研究

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118506

Chengli Hou

{"title":"A study on IMU-Based Human Activity Recognition Using Deep Learning and Traditional Machine Learning","authors":"Chengli Hou","doi":"10.1109/ICCCS49078.2020.9118506","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118506","url":null,"abstract":"Human Activity Recognition (HAR) has been an increasingly popular range to do researches which stems from the ubiquitous computing. And lately, identifying activities during daily life has become one of more and more challenges. Subsequently, more and more methods can be used in the recognition of human activities such as Support Vector Machine (SVM), Random Forests (RF) which are the representatives of Traditional Machine Learning (TML) and also some Deep Learning (DL) methods like Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). However, neither TML nor DL is suitable for all kinds of situations and various datasets. As a result, we would like to explore more about such consequences. In this paper, we discover a discrepancy and phenomenon that different sizes of collected HAR datasets may produce influences on the effectiveness of traditional machine learning methods as well as the deep learning architectures. We conduct experiments on two kinds of different datasets USC-HAD and WISDM with the best accuracy nearly 90% in DL and 87% in TML. Due to the consequences of the experiments we give a conclusion on the individual heterogeneity problems of the HAR datasets–when dealing with the HAR datasets of small scales, the TML structures are more suitable. However, conversely, when the datasets have large amount of datasets. Specifically, DL approaches such as CNN and LSTM are more sensible choices.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"1 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":"131282016","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: 15

CT Image Super Resolution Based On Improved SRGAN 基于改进SRGAN的CT图像超分辨率

2020 5th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2020-05-01 DOI: 10.1109/ICCCS49078.2020.9118497

Xuhao Jiang, Yifei Xu, Pingping Wei, Zhuming Zhou

{"title":"CT Image Super Resolution Based On Improved SRGAN","authors":"Xuhao Jiang, Yifei Xu, Pingping Wei, Zhuming Zhou","doi":"10.1109/ICCCS49078.2020.9118497","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118497","url":null,"abstract":"CT images are commonly used in medical clinical diagnosis. However, due to factors such as hardware and scanning time, CT images in real scenes are limited by spatial resolution so that doctors cannot perform accurate disease analysis on tiny lesion areas and pathological features. An image super-resolution (SR) method based on deep learning is a good way to solve this problem. Although many excellent networks have been proposed, but they all pay more attention to image quality indicators than image visual perception quality. Unlike other networks that focus more on image evaluation metrics, the super resolution generative adversarial network (SRGAN) has achieved tremendous improvements in image perception quality. Based on the above, this paper proposes a CT image super-resolution algorithm based on improved SRGAN. In order to improve the visual quality of CT images, a dilated convolution module is introduced. At the same time, in order to improve the overall visual effect of the image, the mean structural similarity (MSSIM) loss is also introduced to improve the perceptual loss function. Experimental results on the public CT image dataset demonstrate that our model is better than the baseline method SRGAN not only in mean opinion score(MOS), but also in peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) values.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"43 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":"126805142","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: 8