Pub Date : 2014-09-14DOI: 10.1109/OCEANS.2014.7003021
Jean-Christophe Morgère, J. Diguet, J. Laurent
Augmented Reality devices are about to reach mainstream markets but applications have to meet user expectations in terms of usage and ergonomics. In this paper, we present a real-life outdoor Marine Augmented Reality Navigational Assistance Application (MARNAA) that alleviates cognitive load issues (orientation between electronic navigational devices and bridge view) for vessels and recreational boats. First, we describe the current application and explain the requirements to draw relevant and meaningful objects. Secondly we present the 3D chart generator that extracts and provides the meaningful information to the application. Then, we detail our Marine Mobile Augmented Reality System (MMARS) and a generic architecture that can embeds MARNAA application. Finally, we present results and implementations.
{"title":"Electronic navigational chart generator for a marine mobile augmented reality system","authors":"Jean-Christophe Morgère, J. Diguet, J. Laurent","doi":"10.1109/OCEANS.2014.7003021","DOIUrl":"https://doi.org/10.1109/OCEANS.2014.7003021","url":null,"abstract":"Augmented Reality devices are about to reach mainstream markets but applications have to meet user expectations in terms of usage and ergonomics. In this paper, we present a real-life outdoor Marine Augmented Reality Navigational Assistance Application (MARNAA) that alleviates cognitive load issues (orientation between electronic navigational devices and bridge view) for vessels and recreational boats. First, we describe the current application and explain the requirements to draw relevant and meaningful objects. Secondly we present the 3D chart generator that extracts and provides the meaningful information to the application. Then, we detail our Marine Mobile Augmented Reality System (MMARS) and a generic architecture that can embeds MARNAA application. Finally, we present results and implementations.","PeriodicalId":368693,"journal":{"name":"2014 Oceans - St. John's","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127212357","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 : 2014-09-14DOI: 10.1109/OCEANS.2014.7003160
Loic Bernicola, D. Guériot, J. Le Caillec
This paper introduces a hybrid registration approach to build mosaics from side-scan sonar images. Due to specific acquisition procedure during surveys, standard SLAM techniques may not be robust enough to globally take into account a complete survey and correct sensor trajectories in order to properly georeference every pixel from all these images. iSAM algorithm has been fed with real side-scan images and shows interesting capabilities to produce corrected sensor trajectories allowing relevant coarse image registration, based on landmarks extraction and pairing. These trajectories will then guide a block-matching procedure that will refine these trajectories by finely matching only sonar images relevant areas.
{"title":"A hybrid registration approach combining SLAM and elastic matching for automatic side-scan sonar mosaic","authors":"Loic Bernicola, D. Guériot, J. Le Caillec","doi":"10.1109/OCEANS.2014.7003160","DOIUrl":"https://doi.org/10.1109/OCEANS.2014.7003160","url":null,"abstract":"This paper introduces a hybrid registration approach to build mosaics from side-scan sonar images. Due to specific acquisition procedure during surveys, standard SLAM techniques may not be robust enough to globally take into account a complete survey and correct sensor trajectories in order to properly georeference every pixel from all these images. iSAM algorithm has been fed with real side-scan images and shows interesting capabilities to produce corrected sensor trajectories allowing relevant coarse image registration, based on landmarks extraction and pairing. These trajectories will then guide a block-matching procedure that will refine these trajectories by finely matching only sonar images relevant areas.","PeriodicalId":368693,"journal":{"name":"2014 Oceans - St. John's","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127635706","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 : 2014-09-14DOI: 10.1109/OCEANS.2014.7003078
Ahmed Chabane, B. Zerr
The conventional approaches for habitats mapping based on supervised algorithms need a seabed ground truth classes to know the entire seabed types before the training phase. These approaches give satisfying results only when a comprehensive training set is available. If the training set lacks a particular kind of seabed, it will be unknown for the classifier and the classification will be reduced to the closest known sediment class. In addition, it is not always feasible to have a ground truth samples and generally costs are very important. This is what, automated sonar systems classification are becoming widely used. This paper is concerned with automated discovery of seabed types in sonar images. A novel unsupervised approach based on competitive artificial neural network (CANN) for sidescan sonar images segmentation is proposed. The main idea is to create an unsupervised color table which allows linking between the class color and the physical nature of the seabed. This process is based on these steps. The first one consists on texture features extraction from sonar images. Secondly, Self-Organizing features maps (SOFM) algorithm is used to project the vector features on two dimensional map. Then principal component analysis (PCA) is applied to reduce the dimensionality of the result of SOFM map to only three components. The three axes obtained by PCA process will be present the RGB color table. The final result of the color table can be used for supervised or unsupervised classification of sidescan sonar images.
{"title":"Unsupervised knowledge discovery of seabed types using competitive neural network: Application to sidescan sonar images","authors":"Ahmed Chabane, B. Zerr","doi":"10.1109/OCEANS.2014.7003078","DOIUrl":"https://doi.org/10.1109/OCEANS.2014.7003078","url":null,"abstract":"The conventional approaches for habitats mapping based on supervised algorithms need a seabed ground truth classes to know the entire seabed types before the training phase. These approaches give satisfying results only when a comprehensive training set is available. If the training set lacks a particular kind of seabed, it will be unknown for the classifier and the classification will be reduced to the closest known sediment class. In addition, it is not always feasible to have a ground truth samples and generally costs are very important. This is what, automated sonar systems classification are becoming widely used. This paper is concerned with automated discovery of seabed types in sonar images. A novel unsupervised approach based on competitive artificial neural network (CANN) for sidescan sonar images segmentation is proposed. The main idea is to create an unsupervised color table which allows linking between the class color and the physical nature of the seabed. This process is based on these steps. The first one consists on texture features extraction from sonar images. Secondly, Self-Organizing features maps (SOFM) algorithm is used to project the vector features on two dimensional map. Then principal component analysis (PCA) is applied to reduce the dimensionality of the result of SOFM map to only three components. The three axes obtained by PCA process will be present the RGB color table. The final result of the color table can be used for supervised or unsupervised classification of sidescan sonar images.","PeriodicalId":368693,"journal":{"name":"2014 Oceans - St. John's","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128573207","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 : 2014-09-14DOI: 10.1109/OCEANS.2014.7003261
M. Best, P. Favali, L. Beranzoli, M. Cannat, M. Çağatay, J. Dañobeitia, E. Delory, H. D. de Stigter, B. Ferré, M. Gillooly, F. Grant, P. Hall, V. Lykousis, J. Mienert, Jorge Miguel Alberto de Miranda, G. Oaie, V. Radulescu, J. Rolin, H. Ruhl, C. Waldmann
EMSO (The European Multidisciplinary Seafloor and water-column Observatory, www.emso-eu.org) is forging ahead through the next challenge in Earth-Ocean Science: How to co-ordinate ocean data acquisition, analysis and response across provincial, national, regional, and global scales. The coordination, analysis, and dissemination of ocean data continue to be a challenge across international boundaries. EMSO is a large-scale European Research Distributed Infrastructure (RI) of the ESFRI (European Strategy Forum on Research Infrastructures) roadmap, and is composed of fixed-point, seafloor and water-column observatories with the basic scientific objective of (near)-real-time, long-term monitoring of environmental processes across the geosphere, biosphere, and hydrosphere. It is geographically distributed in key sites of European waters, from the Arctic through the Atlantic and Mediterranean, to the Black Sea. EMSO ended its Preparatory Phase, EU Framework Programme 7 (FP7) funded project in 2012, and is now in the Interim phase transitioning to the formation of the legal entity for managing the distributed infrastructure: the EMSO European Research Infrastructure Consortium (hereinafter EMSO-ERIC). A phased implementation will characterize EMSO site extension, construction and operation. Countries currently participating in EMSO are: Italy, France, Ireland, Spain, Greece, United Kingdom, Portugal, Romania, Norway, Sweden, Turkey, Germany, and the Netherlands. The user community is open to all, and will be coordinated through an association called ESONET-Vi (European Seafloor Observatory NETwork - The Vision), following on the extensive scientific community planning contributions of the ESONET-NoE FP6 project. The most striking characteristic of observatory design is its ability to address interdisciplinary objectives simultaneously across temporal and spatial scales. Data are collected from the surface ocean through the water column, the benthos, and the sub-seafloor. Depending on the application, in situ infrastructures can either be attached to a cable, which provides power and enables data transfer, or operate as independent stand-alone benthic and moored instruments. Data, in both cases, can be transmitted realtime through either fibre optic cables, or through cable and acoustic networks that are connected to satellite-linked buoys. EMSO provides power, communications, sensors, and data infrastructure for continuous, high resolution, (near)-real-time, interactive ocean observations across a truly multi- and interdisciplinary range of research areas including biology, geology, chemistry, physics, engineering, and computer science; from polar to tropical environments, down to the abyss. Such coordinated data allow us to pose multivariate questions in space and time, rather than focusing on single data streams. Continuous data are required to document episodic events, such as earthquakes, submarine slides, tsunamis, benthic storms, biodiversity chan
{"title":"European multidisciplinary seafloor and water-column observatory (EMSO): Power and Internet to European waters","authors":"M. Best, P. Favali, L. Beranzoli, M. Cannat, M. Çağatay, J. Dañobeitia, E. Delory, H. D. de Stigter, B. Ferré, M. Gillooly, F. Grant, P. Hall, V. Lykousis, J. Mienert, Jorge Miguel Alberto de Miranda, G. Oaie, V. Radulescu, J. Rolin, H. Ruhl, C. Waldmann","doi":"10.1109/OCEANS.2014.7003261","DOIUrl":"https://doi.org/10.1109/OCEANS.2014.7003261","url":null,"abstract":"EMSO (The European Multidisciplinary Seafloor and water-column Observatory, www.emso-eu.org) is forging ahead through the next challenge in Earth-Ocean Science: How to co-ordinate ocean data acquisition, analysis and response across provincial, national, regional, and global scales. The coordination, analysis, and dissemination of ocean data continue to be a challenge across international boundaries. EMSO is a large-scale European Research Distributed Infrastructure (RI) of the ESFRI (European Strategy Forum on Research Infrastructures) roadmap, and is composed of fixed-point, seafloor and water-column observatories with the basic scientific objective of (near)-real-time, long-term monitoring of environmental processes across the geosphere, biosphere, and hydrosphere. It is geographically distributed in key sites of European waters, from the Arctic through the Atlantic and Mediterranean, to the Black Sea. EMSO ended its Preparatory Phase, EU Framework Programme 7 (FP7) funded project in 2012, and is now in the Interim phase transitioning to the formation of the legal entity for managing the distributed infrastructure: the EMSO European Research Infrastructure Consortium (hereinafter EMSO-ERIC). A phased implementation will characterize EMSO site extension, construction and operation. Countries currently participating in EMSO are: Italy, France, Ireland, Spain, Greece, United Kingdom, Portugal, Romania, Norway, Sweden, Turkey, Germany, and the Netherlands. The user community is open to all, and will be coordinated through an association called ESONET-Vi (European Seafloor Observatory NETwork - The Vision), following on the extensive scientific community planning contributions of the ESONET-NoE FP6 project. The most striking characteristic of observatory design is its ability to address interdisciplinary objectives simultaneously across temporal and spatial scales. Data are collected from the surface ocean through the water column, the benthos, and the sub-seafloor. Depending on the application, in situ infrastructures can either be attached to a cable, which provides power and enables data transfer, or operate as independent stand-alone benthic and moored instruments. Data, in both cases, can be transmitted realtime through either fibre optic cables, or through cable and acoustic networks that are connected to satellite-linked buoys. EMSO provides power, communications, sensors, and data infrastructure for continuous, high resolution, (near)-real-time, interactive ocean observations across a truly multi- and interdisciplinary range of research areas including biology, geology, chemistry, physics, engineering, and computer science; from polar to tropical environments, down to the abyss. Such coordinated data allow us to pose multivariate questions in space and time, rather than focusing on single data streams. Continuous data are required to document episodic events, such as earthquakes, submarine slides, tsunamis, benthic storms, biodiversity chan","PeriodicalId":368693,"journal":{"name":"2014 Oceans - St. John's","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130542375","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 : 2014-09-14DOI: 10.1109/OCEANS.2014.7003094
I. Mandhouj, F. Maussang, B. Solaiman, H. Amiri
The purpose of our work is to define an original approach to determine the threshold of unimodal image histograms in a robust manner. Our proposed segmentation approach refers to Shannon entropy. Threshold estimation is based on the exploitation of the curve of the entropy loss quantity. The final expression of the sigmoid estimated function of the entropy error and derivatives are used to select the image's threshold segmentation. The proposed approach is evaluated on a set of SAS (Synthetic Aperture Sonar) images.
{"title":"A new segmentation approach for unimodal image histograms: Application to the detection of regions of interest in sonar images","authors":"I. Mandhouj, F. Maussang, B. Solaiman, H. Amiri","doi":"10.1109/OCEANS.2014.7003094","DOIUrl":"https://doi.org/10.1109/OCEANS.2014.7003094","url":null,"abstract":"The purpose of our work is to define an original approach to determine the threshold of unimodal image histograms in a robust manner. Our proposed segmentation approach refers to Shannon entropy. Threshold estimation is based on the exploitation of the curve of the entropy loss quantity. The final expression of the sigmoid estimated function of the entropy error and derivatives are used to select the image's threshold segmentation. The proposed approach is evaluated on a set of SAS (Synthetic Aperture Sonar) images.","PeriodicalId":368693,"journal":{"name":"2014 Oceans - St. John's","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117247708","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 : 2014-09-01DOI: 10.1109/OCEANS.2014.7003027
L. Hotaling
This paper describes the existing crisis in science, technology, engineering and mathematics (STEM) education in the United States and the resulting impact on ocean sciences and ocean technology education. The paper also describes solutions being implemented and how professional societies are engaging in potential solutions to promote ocean sciences and ocean technology education.
{"title":"Opportunities for ocean technology education","authors":"L. Hotaling","doi":"10.1109/OCEANS.2014.7003027","DOIUrl":"https://doi.org/10.1109/OCEANS.2014.7003027","url":null,"abstract":"This paper describes the existing crisis in science, technology, engineering and mathematics (STEM) education in the United States and the resulting impact on ocean sciences and ocean technology education. The paper also describes solutions being implemented and how professional societies are engaging in potential solutions to promote ocean sciences and ocean technology education.","PeriodicalId":368693,"journal":{"name":"2014 Oceans - St. John's","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115377801","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 : 2014-09-01DOI: 10.1109/OCEANS.2014.7003291
D. Shea, David Dawe, J. Dillon, S. Chapman
Interferometric SAS systems are rapidly becoming a commercially available viable alternative to traditional sidescan and multibeam systems for the commercial survey market. The high resolution, and high bandwidth data generated from InSAS systems has created several new challenges when compared to the traditional processing workflow of sidescan or multibeam sonar systems. The significant computational requirements for processing SAS data has created a requirement for onboard, in-situ, realtime SAS beamforming, as well as novel data management solutions and more compact, power and size efficient InSAS systems. This paper will present a number of new technologies and methodologies developed to address these new challenges, and provide an update on recent sea trials using these technologies.
{"title":"Onboard real-time SAS processing — Sea trials and results","authors":"D. Shea, David Dawe, J. Dillon, S. Chapman","doi":"10.1109/OCEANS.2014.7003291","DOIUrl":"https://doi.org/10.1109/OCEANS.2014.7003291","url":null,"abstract":"Interferometric SAS systems are rapidly becoming a commercially available viable alternative to traditional sidescan and multibeam systems for the commercial survey market. The high resolution, and high bandwidth data generated from InSAS systems has created several new challenges when compared to the traditional processing workflow of sidescan or multibeam sonar systems. The significant computational requirements for processing SAS data has created a requirement for onboard, in-situ, realtime SAS beamforming, as well as novel data management solutions and more compact, power and size efficient InSAS systems. This paper will present a number of new technologies and methodologies developed to address these new challenges, and provide an update on recent sea trials using these technologies.","PeriodicalId":368693,"journal":{"name":"2014 Oceans - St. John's","volume":"117 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123104748","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 : 2014-09-01DOI: 10.1109/OCEANS.2014.7002999
A. Trucco, Samuele Martelli, M. Crocco
Planar arrays of acoustic sensors represent a critical component for a 3-D wideband passive imaging system. Recently, a method has been proposed for the design of planar microphone arrays that are superdirective (to provide good performance at low frequencies) and aperiodic (to avoid grating lobes at high frequencies). Robustness against dispersion in the sensor characteristics is achieved by exploiting the probability density functions of such errors. Here, such a method is used to demonstrate that 36 low-cost poorly-matched hydrophones are sufficient to populate a square aperture with a side length of 60 cm used as sensor array for an underwater passive system working from 1.5 kHz to 12 kHz.
{"title":"Passive underwater imaging through optimized planar arrays of hydrophones","authors":"A. Trucco, Samuele Martelli, M. Crocco","doi":"10.1109/OCEANS.2014.7002999","DOIUrl":"https://doi.org/10.1109/OCEANS.2014.7002999","url":null,"abstract":"Planar arrays of acoustic sensors represent a critical component for a 3-D wideband passive imaging system. Recently, a method has been proposed for the design of planar microphone arrays that are superdirective (to provide good performance at low frequencies) and aperiodic (to avoid grating lobes at high frequencies). Robustness against dispersion in the sensor characteristics is achieved by exploiting the probability density functions of such errors. Here, such a method is used to demonstrate that 36 low-cost poorly-matched hydrophones are sufficient to populate a square aperture with a side length of 60 cm used as sensor array for an underwater passive system working from 1.5 kHz to 12 kHz.","PeriodicalId":368693,"journal":{"name":"2014 Oceans - St. John's","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124807959","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 : 2014-09-01DOI: 10.1109/OCEANS.2014.7002978
M. Patterson, Drew Osbrink, D. Downer, J. Etro, A. Brescia, J. Cione
New techniques are being investigated to gather atmospheric and near ocean boundary layer data using unmanned air vehicles. The US Navy has supported the development of the Coyote, sonobuoy launched unmanned air vehicle (UAV) and associated sensor suite that has been miniaturized and integrated into the platform to provide temperature, atmospheric pressure, humidity and wind speed from its launch altitude to near sea level. Data is collected in World Meteorological Organization (WMO) standard format. Telemetry from the autopilot is used to georectify the data and provides true three dimensional profiles of atmospheric conditions in near-real time.
{"title":"Atmospheric and ocean boundary layer profiling with unmanned air platforms","authors":"M. Patterson, Drew Osbrink, D. Downer, J. Etro, A. Brescia, J. Cione","doi":"10.1109/OCEANS.2014.7002978","DOIUrl":"https://doi.org/10.1109/OCEANS.2014.7002978","url":null,"abstract":"New techniques are being investigated to gather atmospheric and near ocean boundary layer data using unmanned air vehicles. The US Navy has supported the development of the Coyote, sonobuoy launched unmanned air vehicle (UAV) and associated sensor suite that has been miniaturized and integrated into the platform to provide temperature, atmospheric pressure, humidity and wind speed from its launch altitude to near sea level. Data is collected in World Meteorological Organization (WMO) standard format. Telemetry from the autopilot is used to georectify the data and provides true three dimensional profiles of atmospheric conditions in near-real time.","PeriodicalId":368693,"journal":{"name":"2014 Oceans - St. John's","volume":"187 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124929638","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 : 2014-09-01DOI: 10.1109/OCEANS.2014.7003111
A. McCurdy
Operating as an enterprise ocean observing governance groups would be able to better articulate how they interface with each other and stimulate a common vision for the execution of goals and outcomes. By providing a roadmap toward a tighter alignment between objectives and capabilities, an Enterprise Architecture comprised primarily of the Foundation for Execution and an Operating Model, helps identify the processes, data, technologies, and user interfaces necessary to meet evolving scientific and societal needs of the system. Beyond a firm understanding of core processes as defined by the Framework, and pivotal to the evolution of an enterprise, is the adoption of an Operating Model. Through a Foundation for Execution an Operating Model provides the organizing logic for system processes and requirements. Making decisions in accordance with an Operating Model helps remove assumptions and to identify observing elements and programs that fit ongoing strategic objectives. It assists with the development of agreements on what are core elements, and forces clarification on a workable vision.
{"title":"The enterprise of ocean observing","authors":"A. McCurdy","doi":"10.1109/OCEANS.2014.7003111","DOIUrl":"https://doi.org/10.1109/OCEANS.2014.7003111","url":null,"abstract":"Operating as an enterprise ocean observing governance groups would be able to better articulate how they interface with each other and stimulate a common vision for the execution of goals and outcomes. By providing a roadmap toward a tighter alignment between objectives and capabilities, an Enterprise Architecture comprised primarily of the Foundation for Execution and an Operating Model, helps identify the processes, data, technologies, and user interfaces necessary to meet evolving scientific and societal needs of the system. Beyond a firm understanding of core processes as defined by the Framework, and pivotal to the evolution of an enterprise, is the adoption of an Operating Model. Through a Foundation for Execution an Operating Model provides the organizing logic for system processes and requirements. Making decisions in accordance with an Operating Model helps remove assumptions and to identify observing elements and programs that fit ongoing strategic objectives. It assists with the development of agreements on what are core elements, and forces clarification on a workable vision.","PeriodicalId":368693,"journal":{"name":"2014 Oceans - St. John's","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125103753","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}
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