Open-source robot platform providing offline personalized advertisements |
Kim, Young-Gi
(Dept. of Computer Science and Engineering, Seoul National University of Science and Technology)
Ryu, Geon-Hee (Electronic and Information Commnucation Engineering, Daejeon University) Hwang, Eui-Song (Electronic and Information Commnucation Engineering, Daejeon University) Lee, Byeong-Ho (Electronic and Information Commnucation Engineering, Daejeon University) Yoo, Jeong-Ki (Electronic and Information Commnucation Engineering, Daejeon University) |
1 | O. S. Ban. (2019). A message of temptation to drive purchases, online personalized advertising. Journal of KISO, 37(5), 26-28. |
2 | N. G. Kim & S. B. Jeong. (2016). A Study on Customized Brand Recommendation based on Customer Behavior for Off-line Shopping Malls. Journal of Information Technology Applications & Management, 23(4), 55-70. DOI : 10.21219/jitam.2016.23.4.055 DOI |
3 | Y. H. Choi & S. Y. Lee. (2006). Users' Moving Patterns Analysis for Personalized Product Recommendation in Offline Shopping Malls. Journal of Korean Institute of Intelligent Systems, 16(2), 185-190. DOI : 10.5391/JKIIS.2006.16.2.185 DOI |
4 | S. S. Kim. (2019). A Study on Product Search Service using Feature Point Information based on Image. Journal of Convergence for Information Technology, 9(9), 20-26. DOI: 10.22156/CS4SMB.2019.9.9.020 |
5 | R. Jung & Y. H. Ban. (2017). Classification of Robot Act in Human-Robot Interaction -Focused on Service Robot. Korean Society of Design Science, 62-63. |
6 | S. H. Kim. (2018). The Present and Future of Intelligent Robots. Korean Information Technology Society, 16(1), 7-12. |
7 | B. K. Choi, J. U. Lee, S. K. Park & J. H. Lee. (2020). A Model-Based Interface to Cloud Services for Intelligent Service Robots. Software and data engineering, 9(1), 1-10. |
8 | M. K. Park & Y. J. Yoo. (2020). CES2020, Global Trend Study of Artificial Intelligence+Robot Technology. The Journal of The Korean Institute of Communication Sciences, 37(2), 59-63. |
9 | Y. J. Cho. (2019). History and Implications of ICT Convergence Service Robot in Korea. Korea Robotics Society, 16(2), 7-13. |
10 | B. H. Baek & H. Kim. (2017). Intelligent Robot Industry, Industry Trend and Policy Direction. The Institute of Electronics and Information Engineers, 44(9), 16-26. |
11 | Microsoft. (2019). Microsoft Azure. (Onlie) https://azure.microsoft.com/ko-kr/services/cognitive-services/face/#overview |
12 | H. I. Kim, J. Y. Moon & J. Y. Park. (2018). Research Trends for Deep Learning-Based High-Performance Face Recognition Technology. Electronics and Telecommunications Trends, 33(4), 43-53. DOI : 10.22648/ETRI.2018.J.330405 DOI |
13 | https://www.ros.org/ |
14 | H. B. Kim, Y. K. Kim & S. H. Han. (2018). Optimal Design of Autonomous Walking Robot based on Janssen Mechanism Using Ultrasonic Sensor. Korean CDE Journal, 24(2), 2-11. |
15 | Y. S. Pyo, H. C. Cho, R. W. Jung & T. H. Lim. (2017). ROS robot programming. Rubypaper. |
16 | A, Martinez& E, Fernandez. (2013). Learning ROS forrobotics programming. Packt Publishing Ltd. |
17 | https://www.electroschematics.com/hc-sr04-datasheet/ |
18 | M. Labbe. (2020). rtabmap ros-ROS wiki. (Online). http://wiki.ros.org/rtabmap_ros |
19 | Z. Niu, M. Zhou, L. Wang, X. Gao & G. Hua. (2016). Ordinal regression with multiple output cnn for age estimation. In Proceedings of the IEEE conference on computer vision and pattern recognition. (pp. 4920-4928). DOI: 10.1109/cvpr.2016.532 |