2018 13th Annual Conference on System of Systems Engineering (SoSE)最新文献_第3页

Towards Data-Centric Genetic Cryptography for Telemonitoring and Ambient Assisted Living Systems 面向远程监控和环境辅助生活系统的以数据为中心的遗传密码

2018 13th Annual Conference on System of Systems Engineering (SoSE) Pub Date : 2018-06-01 DOI: 10.1109/sysose.2018.8428768

Z. Hamici

{"title":"Towards Data-Centric Genetic Cryptography for Telemonitoring and Ambient Assisted Living Systems","authors":"Z. Hamici","doi":"10.1109/sysose.2018.8428768","DOIUrl":"https://doi.org/10.1109/sysose.2018.8428768","url":null,"abstract":"The integration of wireless sensor networks into Internet of things, led to a new generation of sensor nodes, directly connected to remote servers, for signal processing and decision making. The migration of data processing from local node, achieved by decoupling the node hardware from the required processing capabilities, is only possible through implementations of network softwarization. The softwarization which brings, new services that are executed remotely has led to security challenges, yet to be resolved, due to the increasing amount of data being continually exchanged between the sensor node-hub and the remote servers. In this regard we introduce a novel genetic algorithm for data security with a powerful security architecture that performs one-time key, single block enciphering instead of a block chaining or weak stream enciphering. The algorithm architecture produces variable (stealthy) keys and data that adopts white noise statistical behavior, therefore, having high immunity to cryptanalysis. The algorithm combines gene fusion and Horizontal Gene Transfer inspired from the spread of antibiotic resistance in bacteria. A Salt extracted from the data block hash-value adds the stealthy-key feature to the cipher. An application in eHealth tele-monitoring with WSN/IoT is described.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"61 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":"126192855","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

Quantitative and Qualitative Reliability Assessment of Reparable Electrical Power Supply Systems using Fault Tree Method and Importance Factors 基于故障树法和重要因子的可修供电系统可靠性定量和定性评估

2018 13th Annual Conference on System of Systems Engineering (SoSE) Pub Date : 2018-06-01 DOI: 10.1109/SYSOSE.2018.8428729

Dallal Kemikem, M. Boudour, R. Benabid, K. Tehrani

{"title":"Quantitative and Qualitative Reliability Assessment of Reparable Electrical Power Supply Systems using Fault Tree Method and Importance Factors","authors":"Dallal Kemikem, M. Boudour, R. Benabid, K. Tehrani","doi":"10.1109/SYSOSE.2018.8428729","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428729","url":null,"abstract":"For safety purpose, the electrical power supply system of a Nuclear Power Plants NPP must be reliable in all operation modes. The 1E safety class of NPP’s load can be supplied from various independent electrical sources namely: main power system (electrical grid), generator (house load operation), auxiliary power system and emergency power system (e.g. Diesel generator). In this paper, the quantitative and qualitative reliability assessment of electrical power supply system model of an NPP are performed using fault tree analysis (FTA) method and importance factors. The quantitative reliability assessment is based on the calculation of the failure probability obtained by the fault tree. Furthermore, the following importance factors: Fussel-Vesely (FV), Risk Reduction Worth (RRW) and Risk Achievement Worth (RAW) are used to identify the most important components in the system. In addition, the Minimal Cut Set (MCS) method is used as a tool for qualitative reliability assessment. The obtained results provide an insight on the reliability level of the power supply system as well as its important components. In practice, the electrical systems reliability can be improved using the appropriate techniques such as redundancy, diversity, inspection time optimization and so on.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"11 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":"130662846","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: 5

A Fusion Model for Road Detection based on Deep Learning and Fully Connected CRF 基于深度学习和全连接CRF的道路检测融合模型

2018 13th Annual Conference on System of Systems Engineering (SoSE) Pub Date : 2018-06-01 DOI: 10.1109/SYSOSE.2018.8428696

Fei Yang, Jian Yang, Zhong Jin, Huan Wang

{"title":"A Fusion Model for Road Detection based on Deep Learning and Fully Connected CRF","authors":"Fei Yang, Jian Yang, Zhong Jin, Huan Wang","doi":"10.1109/SYSOSE.2018.8428696","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428696","url":null,"abstract":"This paper presents a road detection model based on deep learning and fully connected condition random field to fuse image and point cloud data. Firstly, a convolutional neural network is trained to extract multi-scale features of the image. And a point-based deep neural network is trained to extract the multi-scale features of the point cloud. Secondly, the point cloud data is projected to the image plane. The probability maps of image and point cloud in the image plane are obtained by their corresponding multi-scale features, respectively. Thirdly, a Markov-based up-sampling method is used to get a dense height image from a sparse one which is from the point cloud data. A fully connected condition random field model based on the outputs of the two networks and the height image is constructed on the image plane. Finally, the fusion model is effectively solved by the mean-field approximate algorithm. Experiments on KITTI Road dataset show that the proposed model can effectively fuse the image and the point cloud data. Furthermore, the fusion model can also exclude the shadows, road curbs and other interferences in complex scenes.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"5 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":"131352183","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

Model-Based Semi-Physical Simulation Platform Architecting for Satellite Communication System 基于模型的卫星通信系统半物理仿真平台体系结构

2018 13th Annual Conference on System of Systems Engineering (SoSE) Pub Date : 2018-06-01 DOI: 10.1109/SYSOSE.2018.8428761

Su Gao, Yusheng Liu, Luhai Fan, Yue Cao, Guangyu Long

引用次数: 3

Customer Review Analytics using Subjective Loss Function for Conceptual-based Learning 使用主观损失函数进行基于概念学习的客户评论分析

2018 13th Annual Conference on System of Systems Engineering (SoSE) Pub Date : 2018-06-01 DOI: 10.1109/SYSOSE.2018.8428702

Seyed Ali Miraftabzadeh, P. Rad, M. Jamshidi, J. Prevost

{"title":"Customer Review Analytics using Subjective Loss Function for Conceptual-based Learning","authors":"Seyed Ali Miraftabzadeh, P. Rad, M. Jamshidi, J. Prevost","doi":"10.1109/SYSOSE.2018.8428702","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428702","url":null,"abstract":"AbstractDeep neural networks (DNNs) are currently among the most commonly used machine learning methods in content understanding such as computer vision and natural language understanding (NLU). One of the best characteristics of these methods is their modular design – the ability to change the connectivity patterns of layers, try different activation functions, inject different statistical approaches such as normalization and dropout in the network, and many other actions – in every aspect of deep learning networks. While the majority of deep learning applications simply use cross-entropy, L1, and L2 losses, subjective loss function can actually result in impressive performance improvement. In addition, architecting the last layer of DNNs – referred to as the prediction layer – according to the needs of the application increases the discriminative power of the DNNs. This paper aims to investigate how particular choices of loss functions and prediction layer architecture affect deep neural networks and their learning dynamics, as well as the robustness of various effects. Furthermore a real-life application to measure customer loyalty called Deep Net Promoter Score (DeepNPS) from online product reviews is also proposed. The results are promising for learning more latent features and matching the customer feedback with the NPS score.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"4 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":"125264972","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

Graphical User Interface definition processes in the frame of Systems-of-Systems 在系统的系统框架中定义图形用户界面

2018 13th Annual Conference on System of Systems Engineering (SoSE) Pub Date : 2018-06-01 DOI: 10.1109/SYSOSE.2018.8428752

Vincent Arnould

{"title":"Graphical User Interface definition processes in the frame of Systems-of-Systems","authors":"Vincent Arnould","doi":"10.1109/SYSOSE.2018.8428752","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428752","url":null,"abstract":"In the frame of naval forces, coordination means have always been in constant evolution through centuries, from marine flags to radio communications and more recently with tactical data links. Nowadays a naval ship is being considered as part of larger systemsof-systems, and could even be possibly a kind of systemof-systems itself. Through interactions anticipation within others existing and future contributing systems, that will possibly include some sub-systems to be integrated on board, and more surely crews to operate them, the design of next generation surface and submarine combat ships has to cope with the systemsof-systems issues. The question to be raised is thereby: How methods and tools that support graphical user interface definition and development process are facing the systems-of-systems issues? This article aims to first list the existing and emerging solutions for Graphical User Interface design in the frame of combat ship: (i) from a crew-centered approach point of view, (ii) for specification and modelling, in the frame of system engineering; (iii) for specification, prototyping and (iv) for development and testing. In a second time, we will discuss if those emerging solutions can handle the SoS specificities, and what are the ones they can't, trying to propose tracks for those.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"358 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":"133232123","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

Blockchain Design for Trusted Decentralized IoT Networks 可信分散物联网网络的区块链设计

2018 13th Annual Conference on System of Systems Engineering (SoSE) Pub Date : 2018-06-01 DOI: 10.1109/SYSOSE.2018.8428720

Juah C. Song, Mevlut A. Demir, John J. Prevost, P. Rad

引用次数: 42

Overview of System of Systems (SoS) Managerial and Operational Affinity : Assessing and Improving Relationships Within Systems of Systems 系统的系统(SoS)概述管理和操作亲和力:评估和改善系统的系统内的关系

2018 13th Annual Conference on System of Systems Engineering (SoSE) Pub Date : 2018-06-01 DOI: 10.1109/SYSOSE.2018.8428762

Mike Yokell

引用次数: 4

Hexagonal Digital Actuator array for Micro Conveyance Application 用于微型运输的六角形数字执行器阵列

2018 13th Annual Conference on System of Systems Engineering (SoSE) Pub Date : 2018-06-01 DOI: 10.1109/SYSOSE.2018.8428774

A. Deshmukh, L. Petit, M. Khan, F. Lamarque, C. Prelle

引用次数: 1

What can (Systems of) Systems Engineering contribute to Oil and Gas? An illustration with case studies from subsea. 系统工程对油气行业有何贡献?海底案例研究的例证。

2018 13th Annual Conference on System of Systems Engineering (SoSE) Pub Date : 2018-06-01 DOI: 10.1109/SYSOSE.2018.8428724

G. Muller, K. Falk

引用次数: 9