Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Artificial Intelligence for the Fourth Industrial Revolution

  • Jeong, Young-Sik (Dept. of Multimedia Engineering, Dongguk University) ;
  • Park, Jong Hyuk (Dept. of Computer Science and Engineering, Seoul National University of Science & Technology (SeoulTech))
  • Received : 2018.11.29
  • Accepted : 2018.12.20
  • Published : 2018.12.31
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Abstract

Artificial intelligence is one of the key technologies of the Fourth Industrial Revolution. This paper introduces the diverse kinds of approaches to subjects that tackle diverse kinds of research fields such as model-based MS approach, deep neural network model, image edge detection approach, cross-layer optimization model, LSSVM approach, screen design approach, CPU-GPU hybrid approach and so on. The research on Superintelligence and superconnection for IoT and big data is also described such as 'superintelligence-based systems and infrastructures', 'superconnection-based IoT and big data systems', 'analysis of IoT-based data and big data', 'infrastructure design for IoT and big data', 'artificial intelligence applications', and 'superconnection-based IoT devices'.

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References

  1. H. Zhang and L. Wang, "Object tracking with the multi-templates regression model based MS algorithm," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1307-1317, 2018. https://doi.org/10.3745/JIPS.02.0097
  2. S. Lee and I. Kim, "Video captioning with visual and semantic features," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1318-1330, 2018. https://doi.org/10.3745/JIPS.02.0098
  3. Z. Wang and F. Huang, "Triqubit-state measurement-based image edge detection algorithm," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1331-1346, 2018. https://doi.org/10.3745/JIPS.04.0095
  4. S. Rao, K. Shama, and P. K. Rao, "Energy efficient cross layer multipath routing for image delivery in wireless sensor networks," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1347-1360, 2018. https://doi.org/10.3745/JIPS.03.0104
  5. N. Y. Kim, S. Rathore, J. H. Ryu, J. H. Park, and J. H. Park, "A survey on cyber physical system security for IoT: issues, challenges, threats, solutions," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1361-1384, 2018. https://doi.org/10.3745/JIPS.03.0105
  6. Y. Wang, X. Zhou, L. Liang, M. Zhang, Q. Zhang, and Z. Niu, "Short-term wind speed forecast based on least squares support vector machine," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1385-1397, 2018. https://doi.org/10.3745/JIPS.04.0069
  7. C. Yong, G. W. Lee, and E. N. Huh, "Proposal of container-based HPC structures and performance analysis," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1398-1404, 2018. https://doi.org/10.3745/JIPS.01.0033
  8. X. Feng, "Infrared and visible image fusion based on NSCT and deep learning," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1405-1419, 2018. https://doi.org/10.3745/JIPS.04.0096
  9. T. W. Kim, S. Y. Park, and J. M. Yeo, "A study on business-based screen design techniques for designing efficient applications," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1420-1430, 2018. https://doi.org/10.3745/JIPS.01.0034
  10. V. Suryani, S. Sulistyo, and W. Widyawan, "Two-phase security protection for the Internet of Things object," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1431-1437, 2018. https://doi.org/10.3745/JIPS.03.0106
  11. J. U. Heu, "Semantic-based K-means clustering for microblogs exploiting folksonomy," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1438-1444, 2018. https://doi.org/10.3745/JIPS.04.0097
  12. W. Song, S. Zou, Y. Tian, S. Sun, S. Fong, K. Cho, and L. Qiu, "A CPU-GPU hybrid system of environment perception and 3D terrain reconstruction for unmanned ground vehicle," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1445-1456, 2018. https://doi.org/10.3745/JIPS.02.0099
  13. J. Kwak and Y. Sung, "Path generation method of UAV autopilots using max-min algorithm," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1457-1463, 2018. https://doi.org/10.3745/JIPS.02.0100
  14. J. Zhang, X. Jin, Y. Liu, A. K. Sangaiah, and J. Wang, "Small sample face recognition algorithm based on novel Siamese network," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1464-1479, 2018. https://doi.org/10.3745/JIPS.02.0101
  15. J. Lim, H. Yu, and J. M. Gil, "An intelligent residual resource monitoring scheme in cloud computing environments," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1480-1493, 2018. https://doi.org/10.3745/JIPS.02.0102
  16. C. Li, M. Liang, W. Song, and K. Xiao, "A multi-scale parallel convolutional neural network based intelligent human identification using face information," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1494-1507, 2018. https://doi.org/10.3745/JIPS.02.0103
  17. K. Cao, H. Kim, C. Hwang, and H. Jung, "CNN-LSTM coupled model for prediction of waterworks operation data," Journal of Information Processing Systems, vol. 14, no. 6, pp. 1508-1520, 2018. https://doi.org/10.3745/JIPS.02.0104