2018 IEEE Symposium on Computers and Communications (ISCC)最新文献_第10页

Deep Neural Network Hyper-Parameter Setting for Classification of Obstructive Sleep Apnea Episodes 阻塞性睡眠呼吸暂停发作分类的深度神经网络超参数设置

2018 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2018-06-01 DOI: 10.1109/ISCC.2018.8538572

I. D. Falco, G. Pietro, Giovanna Sannino, U. Scafuri, E. Tarantino, A. D. Cioppa, G. Trunfio

{"title":"Deep Neural Network Hyper-Parameter Setting for Classification of Obstructive Sleep Apnea Episodes","authors":"I. D. Falco, G. Pietro, Giovanna Sannino, U. Scafuri, E. Tarantino, A. D. Cioppa, G. Trunfio","doi":"10.1109/ISCC.2018.8538572","DOIUrl":"https://doi.org/10.1109/ISCC.2018.8538572","url":null,"abstract":"The wide availability of sensing devices in the medical domain causes the creation of large and very large data sets. Hence, tasks as the classification in such data sets becomes more and more difficult. Deep Neural Networks (DNNs) are very effective in classification, yet finding the best values for their hyper-parameters is a difficult and time-consuming task. This paper introduces an approach to decrease execution times to automatically find good hyper-parameter values for DNN through Evolutionary Algorithms when classification task is faced. This decrease is obtained through the combination of two mechanisms. The former is constituted by a distributed version for a Differential Evolution algorithm. The latter is based on a procedure aimed at reducing the size of the training set and relying on a decomposition into cubes of the space of the data set attributes. Experiments are carried out on a medical data set about Obstructive Sleep Anpnea. They show that sub-optimal DNN hyper-parameter values are obtained in a much lower time with respect to the case where this reduction is not effected, and that this does not come to the detriment of the accuracy in the classification over the test set items.","PeriodicalId":233592,"journal":{"name":"2018 IEEE Symposium on Computers and Communications (ISCC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134099807","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: 17

IMMS: IoT Management and Monitoring System IMMS:物联网管理与监控系统

2018 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2018-06-01 DOI: 10.1109/ISCC.2018.8538755

J. V. L. D. Monte, Vinicius Matos da Silveira Fraga, A. M. N. C. Ribeiro, D. Sadok, J. Kelner

引用次数: 1

Cognitive Management of Bandwidth Allocation Models with Case-Based Reasoning - Evidences Towards Dynamic BAM Reconfiguration 基于案例推理的带宽分配模型认知管理——面向BAM动态重构的证据

2018 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2018-06-01 DOI: 10.1109/ISCC.2018.8538667

E. Oliveira, R. Reale, Joberto S. B. Martins

{"title":"Cognitive Management of Bandwidth Allocation Models with Case-Based Reasoning - Evidences Towards Dynamic BAM Reconfiguration","authors":"E. Oliveira, R. Reale, Joberto S. B. Martins","doi":"10.1109/ISCC.2018.8538667","DOIUrl":"https://doi.org/10.1109/ISCC.2018.8538667","url":null,"abstract":"Management is a complex task in today’s heterogeneous and large scale networks like Cloud, Internet of Things (IoT), vehicular and Multiprotocol Label Switching (MPLS) networks. Likewise, researchers and developers envision the use of artificial intelligence techniques to create cognitive and autonomic management tools that aim better assist and enhance the management process cycle. Bandwidth Allocation Models (BAMs) are a resource allocation solution for networks that need to share and optimize limited resources like bandwidth, fiber or optical slots in a flexible and dynamic way. This paper proposes and evaluates the use of Case-based Reasoning (CBR) for the cognitive management of BAM reconfiguration in MPLS networks. The results suggest that CBR learns about bandwidth request profiles associated with the current network state and is able to dynamically define or assist in BAM reconfiguration. The BAM reconfiguration approach adopted is based on switching among available BAM implementations (Maximum Allocation Model, Russian Dolls Model and AllocTC-Sharing). The cognitive management proposed allows BAMs self-configuration and results in optimizing the utilization of network resources.","PeriodicalId":233592,"journal":{"name":"2018 IEEE Symposium on Computers and Communications (ISCC)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134159948","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: 9

Content Distribution Optimization Algorithms in Vehicular Networks 车载网络中的内容分发优化算法

2018 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2018-06-01 DOI: 10.1109/ISCC.2018.8538592

J.C.G. Conde, Carlos R. Senna, S. Sargento

引用次数: 2

NPM: An Anti-attacking Analysis Model of the MTD system Based on Martingale Theory NPM:基于鞅理论的MTD系统抗攻击分析模型

2018 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2018-06-01 DOI: 10.1109/ISCC.2018.8538520

Xin Yang, Hui Li, Han Wang

引用次数: 4

Redundant Packet Scheduling by Uncorrelated Paths in Heterogeneous Wireless Networks 异构无线网络中不相关路径的冗余分组调度

2018 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2018-06-01 DOI: 10.1109/ISCC.2018.8538641

Benevid Felix Silva, Igor Steuck, A. Santos, Stefano Secci, M. N. Lima

引用次数: 10

An Interoperable eHealth Reference Architecture for Primary Care 初级保健的可互操作电子健康参考体系结构

2018 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2018-06-01 DOI: 10.1109/ISCC.2018.8538576

W. d'Hollosy, L. V. Velsen, Alexander Henket, H. Hermens

引用次数: 3

Towards an Accurate Bandwidth Estimation Tool for 802.11n Wireless Networks 面向802.11n无线网络的精确带宽估计工具

2018 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2018-06-01 DOI: 10.1109/ISCC.2018.8538751

Diego Azevedo, Michel S. Bonfim, Leonidas Lima, S. Fernandes

{"title":"Towards an Accurate Bandwidth Estimation Tool for 802.11n Wireless Networks","authors":"Diego Azevedo, Michel S. Bonfim, Leonidas Lima, S. Fernandes","doi":"10.1109/ISCC.2018.8538751","DOIUrl":"https://doi.org/10.1109/ISCC.2018.8538751","url":null,"abstract":"Available Bandwidth Estimation (ABE) has been the subject of several studies in recent years. ABE tools based on the PRM approach have been the primary choice for production environments since they are more suitable for applications that are far from users (e.g., Cloud applications). At the same time, the 802.11n wireless network standard has been increasingly used in companies and homes. However, the 802.11n introduced significant changes to improve efficiency such as Frame Aggregation (FA) and the Channel Bonding (CB), which directly influence the accuracy of ABE techniques. Therefore, this work aims to provide a solution that reduces the impact of the new 802.11n arrangements in ABE. For this, we initially performed experiments on a testbed to assess how much these 802.11n MAC layer factors influence the estimates of four ABE tools: ASSOLO, PTR, PathChirp, and YAZ. Results showed that YAZ achieved the best efficiency. Nevertheless, its accuracy is significantly affected in FA-enabled scenarios. Then, we performed an indepth analysis of YAZ aiming to identify the causes of that problem. Finally, we proposed and evaluated the YAZ++, a tool that implements a new technique to improve ABE accuracy in FA scenarios. Results showed an improvement in the estimated values.","PeriodicalId":233592,"journal":{"name":"2018 IEEE Symposium on Computers and Communications (ISCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130293899","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

COPPER: Increasing Underwater Sensor Network Performance Through Nodes Cooperation 铜:通过节点合作提高水下传感器网络性能

2018 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2018-06-01 DOI: 10.1109/ISCC.2018.8538444

Lucas S. Cerqueira, A. Vieira, L. Vieira, M. Vieira, J. Nacif

引用次数: 2

Towards Osmotic Computing: Future Prospect for the Health Information Technology (HIT) Systems of ISASI-CNR (ME) 面向渗透计算:ISASI-CNR (ME)健康信息技术(HIT)系统的未来展望

2018 IEEE Symposium on Computers and Communications (ISCC) Pub Date : 2018-06-01 DOI: 10.1109/ISCC.2018.8538714

Alina Buzachis, G. Bernava, Mario Busa, G. Pioggia, M. Villari

引用次数: 3