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NTIS 바로가기한국시뮬레이션학회논문지 = Journal of the Korea Society for Simulation, v.31 no.3, 2022년, pp.35 - 44
차은주 (아주대학교 경영학과 Management Science & Operations Management) , 장병윤 (아주대학교 국제대학원)
In this study, we analyze and forecast quantum computer technology trends. Previous research has been mainly focused on application fields centered on technology for quantum computer technology trends analysis. Therefore, this paper analyzes important quantum computer technologies and performs futur...
Ain, Q. T., Ali, M., Riaz, A., Noureen, A., Kamran, M., Hayat, B., & Rehman, A. (2017). Sentiment analysis using deep learning techniques: A review. International Journal of Advanced Computer Science and Applications, 8(6), 424.
Amjad, U., Jilani, T. A., Tariq, H., & Hussain, A. (2018). A quantum based evolutionary algorithm for stock index and bitcoin price forecasting. International Journal of Advanced Computer Science and Applications, 9(9), 123-132.
Bennett, C. H., Bernstein, E., Brassard, G., & Vazirani, U. (1997). Strengths and weaknesses of quantum computing. SIAM Journal on Computing, 26(5), 1510-1523.
Berta, M., Christandl, M., Colbeck, R., Renes, J. M., & Renner, R. (2010). The uncertainty principle in the presence of quantum memory. Nature Physics, 6(9), 659-662.
Boukes, M., Van de Velde, B., Araujo, T., & Vliegenthart, R. (2020). What's the tone? easy doesn't do it: Analyzing performance and agreement between offthe-shelf sentiment analysis tools. Communication Methods and Measures, 14(2), 83-104.
Cha, E., & Chang, B.-Y. (2022). Forecasting and Trend Analysis of Quantum Computer Technology. Proceedings of the Korea Society for Simulation.
Cohen, E. L. (2002). Online journalism as market-driven journalism. Journal of broadcasting & Electronic media, 46(4), 532-548.
Dadgar, S. M. H., Araghi, M. S., & Farahani, M. M. (2016). A novel text mining approach based on TF-IDF and Support Vector Machine for news classification. In 2016 IEEE International Conference on Engineering and Technology (ICETECH) (pp. 112-116). IEEE.
Gartner. (2021). Top strategic technology trends for 2022. Retrieved from https://www.gartner.com/en/information-technology/insights/top-technology-trends
Gill, S. S., Kumar, A., Singh, H., Singh, M., Kaur, K., Usman, M., & Buyya, R. (2022). Quantum computing: A taxonomy, systematic review and future directions. Software: Practice and Experience, 52(1), 66-114.
Godbole, S., Bhattacharya, I., Gupta, A., & Verma, A. (2010). Building re-usable dictionary repositories for real-world text mining. Paper presented at the Proceedings of the 19th ACM International Conference on Information and Knowledge Management, 1189-1198.
Hallin, D. C. (1992). Sound bite news: Television coverage of elections, 1968-1988. Journal of communication, 42(2), 5-24.
Hiltunen, E. (2008). The future sign and its three dimensions. Futures, 40(3), 247-260.
Holopainen, M., & Toivonen, M. (2012). Weak signals: Ansoff today. Futures, 44(3), 198-205.
Hopwood, R. (2020). Supply chain: The quantum computing conundrum. Retrieved from https://www.supplychaindigital.com/logistics-1/supply-chainquantum-computing-conundrum
Izsak, R., Riplinger, C., Blunt, N. S., de Souza, B., Holzmann, N., Crawford, O., . . . Schopf, P. (2022). Quantum computing in pharma: A multilayer embedding approach for near future applications. arXiv Preprint arXiv:2202.04460,
Ji, Z., Natarajan, A., Vidick, T., Wright, J., & Yuen, H. (2021). Mip* re. Communications of the ACM, 64(11), 131-138.
Kapufunde, M. (2020). Quantum computing: Coming soon to your supply chain?. Retrieved from https://www.suuchi.com/quantum-computing-coming-soon-to-your-supply-chain/
Kim, C. H., Kim, E. S., Choi, Y. J & Byun, J. E. (2017). A study on scientific research methodology for market-oriented R&D of SMEs. Proceedings of Korea Technology Innovation Society. 2017(11), 321-344..
Kim, J. S., Kwon, E. J., & Song, T. M. (2014). A Study on Using Social Big Data for Expanding Analytical Knowledge - Domestic Big Data supply-demand expectation -. The Knowledge Management Society of Korea, 15(3), 169-188.
Kutner, M. H., Nachtsheim, C. J., Neter, J., & Li, W. (2005). Applied linear statistical models (5th ed). McGraw-Hill Irwin. Boston.
Lloyd, S., Mohseni, M., & Rebentrost, P. (2013). Quantum algorithms for supervised and unsupervised machine learning. arXiv Preprint arXiv:1307.0411,
Mekhiel, N. (2020). Simple quantum computing with quantum bits decoupled in time and space implemented in silicon and coupled back as analog signals and waves processed by analog computer. Computer Engineering and Systems (ICCES), 2020 15th International Conference On, , 1-6.
Mezzacapo, A., Sanz, M., Lamata, L., Egusquiza, I. L., Succi, S., & Solano, E. (2015). Quantum simulator for transport phenomena in fluid flows. Scientific Reports, 5(1), 1-7.
Moller, M., & Vuik, C. (2017). On the impact of quantum computing technology on future developments in high-performance scientific computing. Ethics and Information Technology, 19(4), 253-269.
Na, S. T., Kim, J. H., Jung, M. H., & Ahn, J. E. (2016). Trend Analysis using Topic Modeling for Simulation Studies. The Korea Society for Simulation, 25(3), 107-116.
Nielsen, M. A., & Chuang, I. (2000). Quantum computation and quantum information. Cambridge : Cambridge University Press.
Outeiral, C., Strahm, M., Shi, J., Morris, G. M., Benjamin, S. C., & Deane, C. M. (2021). The prospects of quantum computing in computational molecular biology. Wiley Interdisciplinary Reviews: Computational Molecular Science, 11(1), e1481.
Park, C., & Cho, S. (2017). Future sign detection in smart grids through text mining. Energy Procedia, 128, 79-85.
Park, D. K., Petruccione, F., & Rhee, J. K. (2019). Circuit-based quantum random access memory for classical data. Scientific Reports, 9(1), 1-8.
Song, T. M. (2017). Social Big Data and Future Prediction with Machine Learning. Seoul : hannarae
Tang, D., Qin, B., & Liu, T. (2015). Deep learning for sentiment analysis: Successful approaches and future challenges. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 5(6), 292-303.
Tsai, C. (2012). Television news translation in the era of market-driven journalism. Meta: Journal des traducteurs/Meta: Translators' Journal, 57(4), 1060-1080.
Tseng, K. F. (2001). A content analysis of market-driven television news magazines: Commodification, conglomeration and public interest. [Doctoral dissertation, Michigan State University].
Wind, Y. (1979). Marketing and the other business functions. Wharton School, University of Pennsylvania, Marketing Department.
Yoon, J. (2012). Detecting weak signals for long-term business opportunities using text mining of web news. Expert Systems with Applications, 39(16), 12543-12550.
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