The Magazine of Kiice (지능정보통신)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지

모비우스 플랫폼을 활용한 지능 서비스 기술 개발 사례

  • Published : 2018.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

Keywords

References

  1. V. Mnih, et al. "Playing Atari with Deep Reinforcement Learning," arXiv preprint arXiv:1312.5602
  2. W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, "Edge Computing: Vision and Challenges," IEEE Internet of Thing Journal, vol. 3, no. 5, pp.637-646, Oct. 2016. https://doi.org/10.1109/JIOT.2016.2579198
  3. "IoT, from Cloud to Fog Computing" (https://blogs.cisco.com/ perspectives/iot-from-cloud-to-fog-computing)
  4. H. Liu, F. Eldarrat, H. Alqahtani, A. Reznik, X. Foy, and Y. Zhang, "Mobile Edge Cloud System: Architectures, Challenges, and Approaches," IEEE Systems Journal, Feb. 2017.
  5. OpenFog (https://www.openfogconsortium.org/)
  6. "Meet Jetson, the Platform for AI at the Edge" (https://developer.nvidia.com/embedded/ develop/hardware)
  7. "Introduction to TensorFlow Lite" (https://www.tensorflow.org/ mobile/tflite/)
  8. "Delivering real-time AI in the palm of your hand" (https://code.facebook.com/posts/196146247499076/delivering-realtime-ai-in-the-palm-of-your-hand/)
  9. Core ML (https://developer.apple.com/documentation/coreml)
  10. Vision Kit (https://aiyprojects.withgoogle.com/vision/)
  11. AWS DeepLens (https://aws.amazon.com/ko/deeplens/)