2019 International Conference on Computing, Networking and Communications (ICNC)最新文献_第7页

A Deep Learning-Based Weather Forecast System for Data Volume and Recency Analysis 基于深度学习的天气预报系统的数据量与近期分析

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685584

Jarrett Booz, Wei Yu, Guobin Xu, D. Griffith, N. Golmie

{"title":"A Deep Learning-Based Weather Forecast System for Data Volume and Recency Analysis","authors":"Jarrett Booz, Wei Yu, Guobin Xu, D. Griffith, N. Golmie","doi":"10.1109/ICCNC.2019.8685584","DOIUrl":"https://doi.org/10.1109/ICCNC.2019.8685584","url":null,"abstract":"Accurate weather forecast is important to our daily life and have both economic and environment impact. Through physical atmospheric models, a short period time weather can be accurately forecasted. To provide weather forecast, machines learning techniques can be used for understanding and analyzing weather patterns. In this paper, we propose a deep learning-based weather forecast system and conduct data volume and recency analysis by utilizing a real-world weather data set as a case study to demonstrate the learning ability of deep learning model. By using the Python Keras library and Pandas library1, we implement the proposed system. Based on the system, we find out not only the relationship between the prediction accuracy and data volume, but also the relationship between the prediction accuracy and data recency. Through extensive evaluations, our results show that according to the weather data we have been using, more data is beneficial to increasing the accuracy of a trained model. The recency of the data does not have a consistently significant impact on the accuracy of the trained model.1Certain commercial equipment, instruments, or materials are identified in this paper in order to specify the experimental procedure adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose.","PeriodicalId":161815,"journal":{"name":"2019 International Conference on Computing, Networking and Communications (ICNC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114373298","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: 18

Generative Adversarial Learning for Machine Learning empowered Self Organizing 5G Networks 机器学习的生成对抗学习支持自组织5G网络

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685527

Ben Hughes, Shruti Bothe, H. Farooq, A. Imran

{"title":"Generative Adversarial Learning for Machine Learning empowered Self Organizing 5G Networks","authors":"Ben Hughes, Shruti Bothe, H. Farooq, A. Imran","doi":"10.1109/ICCNC.2019.8685527","DOIUrl":"https://doi.org/10.1109/ICCNC.2019.8685527","url":null,"abstract":"In the wake of diversity of service requirements and increasing push for extreme efficiency, adaptability propelled by machine learning (ML) a.k.a self organizing networks (SON) is emerging as an inevitable design feature for future mobile 5G networks. The implementation of SON with ML as a foundation requires significant amounts of real labeled sample data for the networks to train on, with high correlation between the amount of sample data and the effectiveness of the SON algorithm. As generally real labeled data is scarce therefore it can become bottleneck for ML empowered SON for unleashing their true potential. In this work, we propose a method of expanding these sample data sets using Generative Adversarial Networks (GANs), which are based on two interconnected deep artificial neural networks. This method is an alternative to taking more data to expand the sample set, preferred in cases where taking more data is not simple, feasible, or efficient. We demonstrate how the method can generate large amounts of realistic synthetic data, utilizing the GAN’s ability of generation and discrimination, able to be easily added to the sample set. This method is, as an example, implemented with Call Data Records (CDRs) containing the start hour of a call and the duration of the call, in minutes taken from a real mobile operator. Results show that the method can be used with a relatively small sample set and little information about the statistics of the true CDRs and still make accurate synthetic ones.","PeriodicalId":161815,"journal":{"name":"2019 International Conference on Computing, Networking and Communications (ICNC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126878801","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

Fine-tuning a pre-trained Convolutional Neural Network Model to translate American Sign Language in Real-time 微调预训练卷积神经网络模型，实时翻译美国手语

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685536

Manuel Eugenio Morocho-Cayamcela, W. Lim

引用次数: 15

Flexible Evaluation Caching Using FATE 灵活的计算缓存使用FATE

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685590

James Mathewson, J. Garcia-Luna-Aceves

引用次数: 1

Outage Probability Bounds of EGC Over Correlated Lognormal Fading Channels 相关对数正态衰落信道上EGC的中断概率界

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685525

Zhiqiang Xiao, Bingcheng Zhu, Yongjin Wang

引用次数: 1

A QoE-Driven Rate Adaptation Approach for Dynamic Adaptive Streaming Over HTTP 基于HTTP的动态自适应流的qos驱动速率自适应方法

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685515

Ziwei Wang, Xiuhua Jiang

引用次数: 1

Performance of Elastic Optical Network with Spectrum Slicing for Fragmented Bandwidth Allocation 基于频谱切片的弹性光网络分片带宽分配性能研究

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685625

N. Kitsuwan, R. Matsuura

引用次数: 7

Game Theoretic Based Intelligent Multi-User Millimeter-Wave MIMO Systems under Uncertain Environment and Unknown Interference 不确定环境和未知干扰下基于博弈论的智能多用户毫米波MIMO系统

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685641

Ming Feng, Hao Xu

{"title":"Game Theoretic Based Intelligent Multi-User Millimeter-Wave MIMO Systems under Uncertain Environment and Unknown Interference","authors":"Ming Feng, Hao Xu","doi":"10.1109/ICCNC.2019.8685641","DOIUrl":"https://doi.org/10.1109/ICCNC.2019.8685641","url":null,"abstract":"This paper investigates the intelligent development problem for of multi-user millimeter-wave (mmWave) MIMO systems under uncertain environment and unknown interference. To effectively increase the real-time performance of millimeter-wave (mmWave) MIMO system, a series of advanced communication techniques have been proposed recently, such as Hybrid precoding and MIMO relay, which integrated analog and digital schemes to reduce the hardware complexity of the conventional fully-digital beamforming and further maximizing the capacity of the MIMO channel through introducing relays and formulating multi-hop system. However, in practice harsh conditions such as uncertainty environment like rain, wind, snow, users’ movement, and the unknown interference, would seriously affect the effectiveness and practicality of those emerging communication techniques. This paper proposes a Game Theoretic Based Intelligent Multi-User Millimeter-Wave MIMO (GT-MU-MIMO) system that includes a novel dynamic code book based beam training protocol and an online reinforcement learning algorithm supervising the mobility of multi-robot-relay as well as handling the serious effects from the uncertain environment and unknown interference. Firstly, a novel dynamic codebook development has been introduced to lower the complexity during multi-user beam training. Then, a decentralized game theoretic deep reinforcement learning based intelligent algorithm has been developed. It will not only optimize GT-MU-MIMO beam training efficiency and managing mobility of multi-robot-relay online, and also effectively handle uncertainty while user moving and avoiding the signal interference from unknown radio jamming attack, etc. The effectiveness of proposed design has been demonstrated through computer aided simulation.","PeriodicalId":161815,"journal":{"name":"2019 International Conference on Computing, Networking and Communications (ICNC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132283367","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

An Extended Control Framework for Privacy-Preserving Photo Sharing across Different Social Networks 在不同的社交网络中保护隐私的照片共享的扩展控制框架

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685488

Fenghua Li, Zhelei Sun, Ben Niu, Jin Cao, Hui Li

{"title":"An Extended Control Framework for Privacy-Preserving Photo Sharing across Different Social Networks","authors":"Fenghua Li, Zhelei Sun, Ben Niu, Jin Cao, Hui Li","doi":"10.1109/ICCNC.2019.8685488","DOIUrl":"https://doi.org/10.1109/ICCNC.2019.8685488","url":null,"abstract":"Photo sharing across different social networks has become one of the most popular social activities in our daily life. However, users lost the control totally once they upload their photos to the current social network. In this paper, we propose the design, implementation and evaluation of PrivacyJPEG, a framework to preserve users’ privacy on their uploaded photos, especially when these photos are forwarded to other social networks. PrivacyJPEG acts as a third-party plugin to existing photo sharing-supported social networks, it enables: 1) to encrypt several privacy areas of photos and bind the access control polices before users uploading their photos, 2) each user’s privacy policy could restrain the following users on a dissemination chain, 3) any privacy areas on the photos could be hidden away from unwanted viewers even across different social networks. Besides, PrivacyJPEG presents a carefully designed embedding method, which binds the policies to the uploaded JPEG file without disturbing their displays. We implement a prototype of PrivacyJPEG, design and perform a set of useful real life experiments. The evaluation results indicate the effectiveness and efficiency of PrivacyJPEG.","PeriodicalId":161815,"journal":{"name":"2019 International Conference on Computing, Networking and Communications (ICNC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133477645","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

Developing a QoE Monitoring Approach for Video Service Based on Mobile Terminals 基于移动终端的视频业务QoE监控方法研究

2019 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2019-02-01 DOI: 10.1109/ICCNC.2019.8685523

Xiwen Liu, Xiaoming Tao, Li Wang, Y. Zhan, Jianhua Lu

{"title":"Developing a QoE Monitoring Approach for Video Service Based on Mobile Terminals","authors":"Xiwen Liu, Xiaoming Tao, Li Wang, Y. Zhan, Jianhua Lu","doi":"10.1109/ICCNC.2019.8685523","DOIUrl":"https://doi.org/10.1109/ICCNC.2019.8685523","url":null,"abstract":"Quality of experience (QoE) is crucial for wireless network operators with respect to both technical evolution and profit promotion. However, operators are still unable to monitor user QoE effectively because traditional network quality indices are not directly related to the user’s audiovisual experiences. Motivated by the fact that mobile devices are the network elements closest to the users, we explore the possibility of estimating user QoE by capitalizing on mobile terminal capabilities. For this purpose, we first collect over eighty thousand data records through a self-developed mobile application operating in the real world conditions with the support of a prominent Chinese wireless network operator (i.e., China Unicom). The collected data consist of 89 objective parameters concerning wireless video services and 4 types of subjective user scores. Then, we perform data preprocessing and feature selection based on Spearman correlation analyses. Finally, we establish two predictive models for QoE estimation based on the classification tree C4.5 algorithm and the gradient boosting decision tree (GBDT) algorithm, respectively. The experimental results demonstrate that the two decision tree-based models outperform other machine learning algorithms. Specifically, the prediction accuracy of the GBDT is approximately 70% for a five-level scale and approaches 90% for a more practical 3-level scale. Therefore, this study strongly demonstrates the feasibility of the user terminal-based approach for QoE prediction.","PeriodicalId":161815,"journal":{"name":"2019 International Conference on Computing, Networking and Communications (ICNC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132948545","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