Pub Date : 2018-06-01DOI: 10.1109/sysose.2018.8428768
Z. Hamici
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.
{"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}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428729
Dallal Kemikem, M. Boudour, R. Benabid, K. Tehrani
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.
{"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}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428696
Fei Yang, Jian Yang, Zhong Jin, Huan Wang
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.
{"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}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428761
Su Gao, Yusheng Liu, Luhai Fan, Yue Cao, Guangyu Long
Comprehensive simulation should be carried out before satellite communication system is physically deployed. Its complexity and rapid technical development require careful design to make it robust for integration and scalable to future changes. In this paper, we design an architecting procedure for satellite communication simulation platform with top-level decision optimization following object-oriented system engineering methodology (OOSEM) with SysML language. Decision tradeoff analysis is presented at various levels. Architecture selection conclusion is drawn for satellite communication system architects assisting their decision-making.
{"title":"Model-Based Semi-Physical Simulation Platform Architecting for Satellite Communication System","authors":"Su Gao, Yusheng Liu, Luhai Fan, Yue Cao, Guangyu Long","doi":"10.1109/SYSOSE.2018.8428761","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428761","url":null,"abstract":"Comprehensive simulation should be carried out before satellite communication system is physically deployed. Its complexity and rapid technical development require careful design to make it robust for integration and scalable to future changes. In this paper, we design an architecting procedure for satellite communication simulation platform with top-level decision optimization following object-oriented system engineering methodology (OOSEM) with SysML language. Decision tradeoff analysis is presented at various levels. Architecture selection conclusion is drawn for satellite communication system architects assisting their decision-making.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"413 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":"126694197","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}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428702
Seyed Ali Miraftabzadeh, P. Rad, M. Jamshidi, J. Prevost
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.
{"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}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428752
Vincent Arnould
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.
{"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}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428720
Juah C. Song, Mevlut A. Demir, John J. Prevost, P. Rad
The use of Blockchain in the Internet of Things (IoT) promises to provide an avenue of decentralized, fault-resistant management and data immutability. The wide range of research on blockchain, focused on how to improve upon its drawbacks of latency and resource consumption, demonstrates that the blockchain design has flexibility. Almost every aspect of blockchain can be tailored to fit the requirements of a desired application. However, the wide range of options in configuring blockchains presents challenges in the adoption of blockchains to secure IoT. In this paper, we present the opportunities and challenges of implementing blockchains and present a use case of integrating blockchain into an IoT framework for securing sensor data acquisition.
{"title":"Blockchain Design for Trusted Decentralized IoT Networks","authors":"Juah C. Song, Mevlut A. Demir, John J. Prevost, P. Rad","doi":"10.1109/SYSOSE.2018.8428720","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428720","url":null,"abstract":"The use of Blockchain in the Internet of Things (IoT) promises to provide an avenue of decentralized, fault-resistant management and data immutability. The wide range of research on blockchain, focused on how to improve upon its drawbacks of latency and resource consumption, demonstrates that the blockchain design has flexibility. Almost every aspect of blockchain can be tailored to fit the requirements of a desired application. However, the wide range of options in configuring blockchains presents challenges in the adoption of blockchains to secure IoT. In this paper, we present the opportunities and challenges of implementing blockchains and present a use case of integrating blockchain into an IoT framework for securing sensor data acquisition.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"17 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":"133246130","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}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428762
Mike Yokell
Two key characteristics of systems of systems are operational and managerial independence. But what do these terms really mean, and what am I supposed to do about it? This paper is a dialogue about assessing the operational relationships between the constituent systems within a system of systems, and the managerial relationships between the organizations that own them. For each of the relationship types, or affinity options, a framework for tangible, actionable guidance is offered.
{"title":"Overview of System of Systems (SoS) Managerial and Operational Affinity : Assessing and Improving Relationships Within Systems of Systems","authors":"Mike Yokell","doi":"10.1109/SYSOSE.2018.8428762","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428762","url":null,"abstract":"Two key characteristics of systems of systems are operational and managerial independence. But what do these terms really mean, and what am I supposed to do about it? This paper is a dialogue about assessing the operational relationships between the constituent systems within a system of systems, and the managerial relationships between the organizations that own them. For each of the relationship types, or affinity options, a framework for tangible, actionable guidance is offered.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"22 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":"134112539","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}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428774
A. Deshmukh, L. Petit, M. Khan, F. Lamarque, C. Prelle
An actuator array dedicated to the collaborative actuation is presented in this paper. The array consists of several elementary digital actuators to carry out planar conveyance tasks. Each elementary actuator of this array is based on an electromagnetic principle and has an ability to achieve six discrete positions in a 2D plane. A semi-analytical model has been developed to compute the electromagnetic and magnetic forces, which helps to design an actuator prototype. The homogenous behaviour of all elementary actuators of the array has particularly been studied using the model. An array prototype has then been realized using laser cutting and rapid prototyping technique. This prototype is based on a honeycomb architecture and composed of seven elementary actuators. Experiments has been conducted to characterize the actuator array performances. The pulse duration needed to switch the actuators and the energy consumption has been calculated. Finally, the principle of conveyance using the array is detailed and the collaborative actuation have been experimentally tested and shown.
{"title":"Hexagonal Digital Actuator array for Micro Conveyance Application","authors":"A. Deshmukh, L. Petit, M. Khan, F. Lamarque, C. Prelle","doi":"10.1109/SYSOSE.2018.8428774","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428774","url":null,"abstract":"An actuator array dedicated to the collaborative actuation is presented in this paper. The array consists of several elementary digital actuators to carry out planar conveyance tasks. Each elementary actuator of this array is based on an electromagnetic principle and has an ability to achieve six discrete positions in a 2D plane. A semi-analytical model has been developed to compute the electromagnetic and magnetic forces, which helps to design an actuator prototype. The homogenous behaviour of all elementary actuators of the array has particularly been studied using the model. An array prototype has then been realized using laser cutting and rapid prototyping technique. This prototype is based on a honeycomb architecture and composed of seven elementary actuators. Experiments has been conducted to characterize the actuator array performances. The pulse duration needed to switch the actuators and the energy consumption has been calculated. Finally, the principle of conveyance using the array is detailed and the collaborative actuation have been experimentally tested and shown.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"45 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":"114446413","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}
Pub Date : 2018-06-01DOI: 10.1109/SYSOSE.2018.8428724
G. Muller, K. Falk
The oil and gas industry see the potential of using systems engineering, given the complexity of the domain. Actually, oil and gas systems are systems of systems by nature. The domain will need to adapt systems engineering methods and techniques to their specific circumstances and needs.This paper presents a set of examples of research projects, which evaluate specific methods or techniques in the oil and gas domain. A large number of these studies will help the domain in adapting the body of knowledge of (systems of) systems engineering to oil and gas.
{"title":"What can (Systems of) Systems Engineering contribute to Oil and Gas? An illustration with case studies from subsea.","authors":"G. Muller, K. Falk","doi":"10.1109/SYSOSE.2018.8428724","DOIUrl":"https://doi.org/10.1109/SYSOSE.2018.8428724","url":null,"abstract":"The oil and gas industry see the potential of using systems engineering, given the complexity of the domain. Actually, oil and gas systems are systems of systems by nature. The domain will need to adapt systems engineering methods and techniques to their specific circumstances and needs.This paper presents a set of examples of research projects, which evaluate specific methods or techniques in the oil and gas domain. A large number of these studies will help the domain in adapting the body of knowledge of (systems of) systems engineering to oil and gas.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"13 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":"117069736","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：