2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)最新文献_第5页

Cache-Aided Non-Orthogonal Multiple Access Over Fading Channels in Downlink Cellular Networks 下行蜂窝网络衰落信道上的缓存辅助非正交多址

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027460

S. Mohan, Shreya Morgansgate, Priyadarshini Basket, Sanjeev Gurugopinath, S. Muhaidat

引用次数: 2

Storage and Rack Sensitive Replica Placement Algorithm for Distributed Platform with Data as Files 数据为文件的分布式平台存储与机架敏感副本放置算法

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027494

Vinay Venkataramanachary, Enrique Reveron, Wei Shi

{"title":"Storage and Rack Sensitive Replica Placement Algorithm for Distributed Platform with Data as Files","authors":"Vinay Venkataramanachary, Enrique Reveron, Wei Shi","doi":"10.1109/COMSNETS48256.2020.9027494","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027494","url":null,"abstract":"Distributed File System (DFS) is a key component in cloud and data center networking. Frequent hardware failure and network bottlenecks in the underlying infrastructure degrade the performance significantly. Replica technique provides enhanced fault tolerance by storing multiple replicas of a single data block. In the Hadoop platform, the Hadoop Distributed File System (HDFS) handles data storage and provides replica placement services. The Default HDFS replica engine adopts a simple rack aware policy and is designed to improve fault tolerance by storing data blocks in multiple racks. However, the HDFS replica engine does not consider key performance indicators of data center resources such as rack utilization and node storage utilization. Furthermore, in HDFS data is stored as uniformly divided small-sized blocks, which increases traffic flow during the entire file access, therefore degrading the response time. In this research, we propose a Storage and Rack Sensitive (SRS) replica placement algorithm that aims at improving the rack and storage utilization of data center resources. The proposed algorithm also attempts to optimize traffic flow during file access by storing data as original files instead of small uniform blocks. Experimental results of the proposed SRS algorithm are compared against the default HDFS replica distribution and significant improvement on rack-utilization and storage-utilization were observed. Furthermore, latest literature confirms that the “Data as a File” approach indeed decreases the amount of data flow caused by file access traffic.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134375288","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: 3

MIMO-TTR+: A Novel Topology-Transparent Scheduling Scheme for MIMO Wireless Networks MIMO- ttr +:一种新的MIMO无线网络拓扑透明调度方案

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027375

Dipti Dash, Debarshi Kumar Sanyal

引用次数: 0

Designing for Safety and Efficacy: An Assessment of a Medtech Development Platform 安全性和有效性的设计:一个医疗技术开发平台的评估

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027461

Pooja Kadambi, Vijayarajan Alagumalai

引用次数: 0

Prevalence of Musculoskeletal Disorders and its Impact on Lost Production Days among Industrial Workers: A Data Analytics Approach 肌肉骨骼疾病的患病率及其对产业工人生产损失日的影响:数据分析方法

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027483

A. Ranjan, Yanxiao Zhao

{"title":"Prevalence of Musculoskeletal Disorders and its Impact on Lost Production Days among Industrial Workers: A Data Analytics Approach","authors":"A. Ranjan, Yanxiao Zhao","doi":"10.1109/COMSNETS48256.2020.9027483","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027483","url":null,"abstract":"Health and safety of workers in the industrial environment remained a concern, and providing a safe work culture is top priority of the management. Mining Industry being one of the high-stress workplace witness different occupational health and safety issues. In this work, we envisioned a healthy work environment for the mining workforce and carried out detailed data analytics on accident, illness and injury dataset covering a total of 13 years of history from 2005-2017. Our results show that Work-related musculoskeletal disorder (WMSD) remained the most frequent health issues which further caused an average of 51 lost workdays and a maximum of 900 lost production days. Furthermore, individual analysis on the miners body part affected due to WMSDs shows that shoulder is most suffered followed by knee with an average of 77 and 57 lost workdays respectively, whereas back remained the most suffering body part in the entire dataset leading to an average of 48 lost workdays. In addition, underground mine operations witness more WMSDs in total than surface mines and mill or preparation plants. The findings reported will be useful to find out the factors leading to WMSDs at mining workplace and adopt preventive measures and introducing new alternative technologies considering automation at workplace.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122622158","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

DA-TV: Dynamic Adaptive Television Broadcast for Mobile Users DA-TV:移动用户动态自适应电视广播

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027462

Monalisa Ghosh, Anubhav, Chetna Singhal

引用次数: 2

An Efficient Pipeline for Distant Person Detection and Identification in 4K Video using GPUs 基于gpu的4K视频中远距离人物检测与识别的高效流水线

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027465

Govardhan Mattela, Manmohan Tripathi, Chandrajit Pal, Rampelli Sai Dhiraj, A. Acharyya

{"title":"An Efficient Pipeline for Distant Person Detection and Identification in 4K Video using GPUs","authors":"Govardhan Mattela, Manmohan Tripathi, Chandrajit Pal, Rampelli Sai Dhiraj, A. Acharyya","doi":"10.1109/COMSNETS48256.2020.9027465","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027465","url":null,"abstract":"The gradual advent of machine learning has been assisting to shift the field of computer vision from statistical methods to deep neural networks. These networks should be able to process high resolution video streams coming from the HD camera sources in real time. However, due to the fixed network size and to maintain the processing speed, high resolution frames need to be resized and down-sampled before feeding into the networks resulting in loss of feature information, hampering recognition accuracy. This motivated us to propose a methodology which focuses on creating and processing the active region of interests in the foreground image through an active region generator (ARG) module, eliminating the need to traverse the entire frame and down-sample the resolution before feeding it to the neural network. This resulted in saving 25x more image feature information, whilst maintaining a given person detection accuracy of 92 % mAP for longer distance up to 30~35 metre executing in real time w.r.t it's classical counterpart based on singleshot detector model. Besides, our proposed pipeline architecture utilizing multi-core TESLA GPU increases the execution throughput by a factor of 3X verified in NVIDIA DGX system.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114346170","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

Achieving Real-Time Sign Language Translation Using a Smartphone's True Depth Images 利用智能手机的真深度图像实现实时手语翻译

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027420

Hyeonjun Park, Jong-Seok Lee, Jeonggil Ko

{"title":"Achieving Real-Time Sign Language Translation Using a Smartphone's True Depth Images","authors":"Hyeonjun Park, Jong-Seok Lee, Jeonggil Ko","doi":"10.1109/COMSNETS48256.2020.9027420","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027420","url":null,"abstract":"Sign language is used as a visual form of communication among the deaf and is considered as an official language in many countries. While there has been many efforts to achieve efficient translation between sign and verbal languages, many of these previous work can be applied in non-mobile context or exploit RGB images which can potentially invade the users' privacy. This work presents our preliminary efforts in designing a mobile device-based sign language translation system using depth-only images. Our system performs image processing on the smartphone-collected depth images to emphasize the subject's hand and upper body gestures and exploits a convolutional neural network for feature extraction. The series of features gathered from word-representing videos are passed through a Long-Short Term Memory (LSTM) model for word-level sign language translation. We train and test our system using a total of 2,200 samples collected from 26 people for 17 words. The classification accuracy of our proposed system using the self-collected data achieves 92% with an efficient image preprocessing phase.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115281775","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: 6

I Know Who You are: A Learning Framework to Profile Smartphone Users 我知道你是谁:智能手机用户的学习框架

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027343

Mihika Naik, Ashutosh Bhatia, Kamlesh Tiwari

{"title":"I Know Who You are: A Learning Framework to Profile Smartphone Users","authors":"Mihika Naik, Ashutosh Bhatia, Kamlesh Tiwari","doi":"10.1109/COMSNETS48256.2020.9027343","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027343","url":null,"abstract":"The volume of traffic belonging to mobile applications over the Internet has already crossed the traffic generated due to traditional desktop-based Internet browsing. To protect security and privacy of the mobile user, many smartphone applications use encryption to encapsulates communications over the Internet. However it is not possible to decode the actual message contents, even then the statistical information present in the traffic is useful to identify application and the associated activity. This paper proposes a machine learning based framework to analyze the encrypted mobile traffic with the objective of finding the mobile application usage patterns of smartphone users. This information can be used by various authorities to profile mobile users with respect to their age, gender profession, etc. which would further help them to look for any suspicious or anomalous behaviour. Proposed framework has been tested on the network traffic data pertaining to popular smartphone applications such as GMail, Facebook, and Youtube and have achieved 97.46% accuracy for application identification. Further, the proposed framework also achieved a fairly high accuracy, 77.37% when used for the classification of exact activity performed by the smartphone user in different applications.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"2015 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114087082","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: 3

Attribute-Based Data Security with Obfuscated Access Policy for Smart Grid Applications 基于属性和模糊访问策略的智能电网应用数据安全

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027398

Kamalakanta Sethi, Ankit Pradhan, P. Bera

引用次数: 2