참고문헌
- Alam, J. R., Sajid, A., Talib, R., and Niaz, M., A Review on the Role of Big Data in Business, 2014.
- Apache Chuckwa, Retrieved Sep. 1, 2015, from http://chukwa.apache.org/
- Apache Flume, Retrieved Sep. 1, 2015, from http://flume.apache.org/
- Apache HBase, Retrieved Sep. 1, 2015, from http://hbase.apache.org/
- Apache Mahout, Retrieved Sep. 1, 2015, from http://mahout.apache.org/
- Apache Sqoop, Retrieved Sep. 1, 2015, from http://sqoop.apache.org/
- Baaziz, A. and Quoniam, L., How to use Big Data technologies to optimize operations in Upstream Petroleum Industry, 21st World Petroleum Congress, 2014.
- Beyer, M. A. and Laney, D., The import ance of 'big data': a definition. Stamford, CT: Gartner, 2012.
- Brule, M., Tapping the power of Big Data for the oil and gas industry, IBM Software White Paper for Petroleum Industry, 2013.
- BSR-AIAA G-043A-201, Guide to the Preparation of Operational Concept Documents, 1992.
- Cameron, D., Big Data in Exploration and Production: Silicon Snake-Oil, Magic Bullet, or Useful Tool?, In SPE Intelligent Energy Conference & Exhibition, Society of Petroleum Engineers, 2014.
- Cassandra, Retrieved Sep. 1, 2015, from http://cassandra.apache.org/
- Cloudera, Retrieved Sep. 1, 2015, from http://www.cloudera.com/
- D3.js, Retrieved Sep. 1, 2015, from http://d3js.org/
- Dijcks, J. P., Oracle: Big data for the enterprise, Oracle White Paper, 2012.
- ANSI/EIA-632, Processes for Engineeri ng a System, American National Standard Institute(ANSI)/Electronic Industries Alliance (EIA), 2003.
- Facebook Scribe, Retrieved Sep. 1, 2015, from http://github.com/facebookarchive/scribe/
- Feblowitz, J., The Big Deal About Big Data in Upstream Oil and Gas, IDC Energy Insights, 2012.
- Flot, Retrieved Sep. 1, 2015, from http:// www.flotcharts.org/
- FluentD, Retrieved Sep. 1, 2015, from http://www.fluentd.org/
- Gantz, J. and Reinsel, D., Extracting value from chaos, IDC iview, 1142: 9-10, 2011.
- Google Chart, Retrieved Sep. 1, 2015, from http://developers.google.com/chart/
- gRaphael, Retrieved Sep. 1, 2015, from http://raphaeljs.com/
- Hems, A., Soofi, A., and E. Perez, How innovative oil and gas companies are using big data to outmaneuver the competition, 2013.
- Hortonworks, Retrieved Sep. 1, 2015, from http://www.hortonworks.com/
- IEEE 1220, IEEE Standard for Application and Management of the Systems Engineering Process, IEEE Computer Society, 2005.
- INCOSE, What is systems engineering, Retrieved Sep. 1, 2015, from http://incose.org/practice/whatissystemseng.aspx/
- ISO/IEC 15288, Systems and Software Engineering - System Life Cycle Processes, International Organization for Standardization, 2015.
- Kang, S. K., Development of Big Data Demonstration Platform to Improve the Safety of NPP (2014520400090) 1st yearly report, Korea Institute of Energy Technology Evaluation and Planning (KETEP), 2015.
- Kei, F., Masaya, K., Isao, H., Satoshi, T., Takayuki, Y., and Toshiyuki, O., Failure sign monitoring system for large-scale plants applying system invariant analysis technology (SIAT), NEC Technical Journal, 9(1), 2014.
- Kim, M., Risk Communication about Nuclear Power in Korea: One-Year Descriptive Analysis on Twitter, Science Education International, 24(3), 324-343, 2013.
- Kim, D. S., & Kim, J. W., Public Opinion Sensing and Trend Analysis on Social Media: A Study on Nuclear Power on Twitter, Int. J. of Multimedia and Ubiquitous Engineering, 9(11), 373-384, 2014. https://doi.org/10.14257/ijmue.2014.9.11.36
- Korea Atomic Industrial Forum, The 18th survey on the status of nuclear industry in 2012, Research Program for Nuclear Policy 2013-032251, 2014.
- Lurie, A., 39 Data Visualization Tools for Big Data. In Cloud Computing, Retrieved from Sep. 1, 2015, http://blog.profitbricks.com/39-data-visualization-tools-for-big-data/
- Manyika, J., Chui, M. Brown, B., Bughin, J. Dobbs, R., Roxburgh, C., and Byers, A. H., Big Data: the next Frontier for Innovation, Competition and Productivity, McKinsey Global Institute, 2011.
- MapR, Retrieved Sep. 1, 2015, from http://www.mapr.com/
- MongoDB, Retrieved Sep. 1, 2015, from http://www.mongodb.org/
- NIA, Classification and current status of big data technology, National Information Society Agency (NIA) Report, 2013.
- NIA, Work process and technology application manual on each big data usage phases ver. 1.0: Providing considerations for work process and technology application on each big data collection.store.application, National Information Society Agency (NIA) Report, 2014.
- NIST, Draft NIST Big Data Interoperability Framework: Vol. 2, Big Data Taxonomies, 2014.
- NodeBox, Retrieved Sep. 1, 2015, from http://www.nodebox.net/
- Polymaps, Retrieved Sep. 1, 2015, from http://polymaps.org/
- Processing, Retrieved Sep. 1, 2015, from http://processing.org/
- Redis, Retrieved Sep. 1, 2015, from http://redis.io/
- RHadoop, Retrieved Sep. 1, 2015, from http://github.com/RevolutionAnalytics/RHadoop
- RHIPE, Retrieved Sep. 1, 2015, from http://github.com/tesseradata/RHIPE
- RHive, Retrieved Sep. 1, 2015, from http://github.com/nexr/RHive
- Ryu, J.-H., Kang, S.-H., Cha, J.-M., ICT application of plant industry technology, KIC News, Vol. 18, No. 5, 2015.
- Sagiroglu, S., and Sinanc, D., Big data: A Review, Proc. of Collaboration Tech. and Systems (CTS), pp. 42-47, 2013.
- Seshadri, M., Big Data Science Challenging, The Oil Industry, CTO Global Services, EMC Corporation, 2013.
- SocialCompare, Javascript Graphs and Charts libraries, Retrieved April 15, 2015, from http://socialcompare.com/en/comparison/javascript-graphs-and-charts-libraries/
- Spark MLib, Retrieved Sep. 1, 2015, from http://spark.apache.org/mllib/
- Suda, B., The 37 best tools for data visualization, Retrieved Nov. 11, 2014, from http://www.creativebloq.com/design-tools/data-visualization-712402/
- Truck, M. and Zilis, S., The Big Data Landscape 3.0, 2014.
- TTAK.KO-10.0700, Functional Requirement Analysis for Big Data Service in Cloud Computing, TTA, 2013.
- TTAK.KO-10.0705, Framework for Big Data Service in Cloud Computing, TTA, 2013.
- TTAK.KO-10.0778, Big Data Real-time Processing Technology - Part 1: Overview, TTA, 2014.
- Ward, J. S., and Barker, A., Undefined by data: a survey of big data definitions, arXiv preprint arXiv:1309.5821, 2013.