2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)最新文献_第3页

Effect of Parallel Processing by Duplicating Histogram in Automatic Image Binarization for High-Level Synthesis 复制直方图并行处理在高级合成自动图像二值化中的作用

2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2019-12-01 DOI: 10.1109/PDCAT46702.2019.00105

Moena Yamasaki, A. Yamawaki

{"title":"Effect of Parallel Processing by Duplicating Histogram in Automatic Image Binarization for High-Level Synthesis","authors":"Moena Yamasaki, A. Yamawaki","doi":"10.1109/PDCAT46702.2019.00105","DOIUrl":"https://doi.org/10.1109/PDCAT46702.2019.00105","url":null,"abstract":"The high-level synthesis converting software to hardware automatically is one of the important technologies for significantly reducing the burden caused by developing hardware module. The embedded image processing products need the HLS to quickly implement a hardware module achieving high-performance with low-power consumption instead of software implementation for high-computational processing. However, the HLS tool cannot generate a hardware module with high-performance and low-power consumption expected when the software program without deep consideration about the hardware organization to be generated is input. This paper shows a software description method to extract some parallelisms by duplicating the histograms in the automatic image binarization which is called as Otsu's method in order to improve a performance of the hardware module HLS generates. The experimental results show the effect of our description method about the performance and the amount of hardware. We also discuss about a trade-off among the parallelism, performance and amount of hardware.","PeriodicalId":166126,"journal":{"name":"2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131225604","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

Automated Segmentation of Substantia Nigra and Red Nucleus in Quantitative Susceptibility Mapping Images 定量敏感性图中黑质和红核的自动分割

2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2019-12-01 DOI: 10.1109/PDCAT46702.2019.00074

Dibash Basukala, R. Mukundan, T. Melzer, A. Lim

引用次数: 1

Color Distortion Removal for Heart Rate Monitoring in Fitness Scenario 健身场景下心率监测的色彩失真去除

2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2019-12-01 DOI: 10.1109/PDCAT46702.2019.00073

Quoc-Viet Tran, S. Su, M. Tran

{"title":"Color Distortion Removal for Heart Rate Monitoring in Fitness Scenario","authors":"Quoc-Viet Tran, S. Su, M. Tran","doi":"10.1109/PDCAT46702.2019.00073","DOIUrl":"https://doi.org/10.1109/PDCAT46702.2019.00073","url":null,"abstract":"Heart rate estimation from fitness plays an important role in the evaluation of fitness exercises. Conventional approaches use the photoplethysmography (PPG) sensor to consider the change of light absorption on the wrist skin for heart rate estimation. However, users are required to buy smartwatches for using this function. Various approaches based on video analysis are recently implemented for surveillance purpose. However, it is unstable for motion scenario such as fitness exercises due to the color distortion induced by movement. POS and CHROM are introduced to address this issue. Since the fixed projection planes from POS and CHROM are given in several sources of light, it is not widely applied for surveillance applications. Therefore, a novel projection plane that is adaptively changed with the lighting environment is proposed to estimate the heart rate from fitness videos in ambient light. Moreover, image and digital signal processing techniques are also applied to extract the clean pulse signal from a novel projection plane. From the experiments conducted, the proposed approach outperformed the existing approaches to be the best model for heart rate estimation from fitness videos with the accuracy up to 91.08%.","PeriodicalId":166126,"journal":{"name":"2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131458057","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

FPGA-Based Parallel Multi-Core GZIP Compressor in HDFS HDFS中基于fpga的并行多核GZIP压缩器

2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2019-12-01 DOI: 10.1109/PDCAT46702.2019.00017

Haoxin Luo, Ye Cai, Qiuming Luo, Rui Mao

引用次数: 1

Overlapping Community Detection of Complex Network: A Survey 复杂网络重叠社区检测研究进展

2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2019-12-01 DOI: 10.1109/PDCAT46702.2019.00102

Qi Chen, L. Wei

引用次数: 2

Accelerating Conjugate Gradient using OmpSs 利用omps加速共轭梯度

2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2019-12-01 DOI: 10.1109/PDCAT46702.2019.00033

Sandra Catalán, X. Martorell, Jesús Labarta, Tetsuzo Usui, Leonel Antonio Toledo Díaz, Pedro Valero-Lara

引用次数: 5

NFV Optimization Algorithm for Shortest Path and Service Function Assignment NFV最短路径优化算法及业务功能分配

2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2019-12-01 DOI: 10.1109/PDCAT46702.2019.00081

A. Kalyan

引用次数: 0

DOCKERANALYZER : Towards Fine Grained Resource Elasticity for Microservices-Based Applications Deployed with Docker DOCKERANALYZER:面向使用Docker部署的基于微服务的应用的细粒度资源弹性

2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2019-12-01 DOI: 10.1109/PDCAT46702.2019.00049

M. Fourati, Soumaya Marzouk, K. Drira, M. Jmaiel

引用次数: 7

Tasking in Accelerators: Performance Evaluation 加速器中的任务分配:绩效评估

2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2019-12-01 DOI: 10.1109/PDCAT46702.2019.00034

Leonel Toledo, Antonio J. Peña, Sandra Catalán, Pedro Valero-Lara

引用次数: 4

Low Computational Data Fusion Approach Using INS and UWB for UAV Navigation Tasks in GPS-Denied Environments 基于惯导系统和超宽带的低计算数据融合方法在gps拒绝环境下的无人机导航任务

2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2019-12-01 DOI: 10.1109/PDCAT46702.2019.00080

Xiaoying Kong, Gengfa Fang, Li Liu, Tich Phuoc Tran

{"title":"Low Computational Data Fusion Approach Using INS and UWB for UAV Navigation Tasks in GPS-Denied Environments","authors":"Xiaoying Kong, Gengfa Fang, Li Liu, Tich Phuoc Tran","doi":"10.1109/PDCAT46702.2019.00080","DOIUrl":"https://doi.org/10.1109/PDCAT46702.2019.00080","url":null,"abstract":"This paper presents a low computational approach for unmanned aerial vehicles (UAV) navigation in GPS-denied environments. This approach is aiming to reduce computation load for UAV flying mission constraints. Small size, light weight on board hardware are constraints for UAV deployment and flying missions. The on board processor should not be built with high complexity and should consume as little computing as possible. Most existing approaches use Kalman filter, extended Kalman filter, Unscented filter, or particle filter to fuse different types of onboard sensor data to estimate UAV position. We developed a data fusion architecture that does not use these filters. We use an ultra-light-coupling fusion architecture. In this architecture, primary sensor and secondary sensor data are fused. When the secondary sensor is unavailable in most of the time, the UAV navigation uses the output of the primary sensor. When the secondary sensor signal is available, the primary sensor is re-aligned using the secondary sensor signal to bond the errors. In our approach, the primary sensor is Inertial Measurement Unit (IMU), and the secondary sensor inputs are from Ultra-wideband system (UWB). This approach is validated using demonstration of comparison of computing load, and simulation results for accuracy and reliability testing using UAV flying mission scenario.","PeriodicalId":166126,"journal":{"name":"2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123351565","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