최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기韓國컴퓨터情報學會論文誌 = Journal of the Korea Society of Computer and Information, v.25 no.2, 2020년, pp.59 - 66
Yeo, Doyeob (Electronics and Telecommunications Research Institute (ETRI)) , Lee, Giyoung (Electronics and Telecommunications Research Institute (ETRI)) , Lee, Jae-Cheol (Korea Atomic Energy Research Institute (KAERI))
In this paper, we propose a pipe leak detection system through data collection using low-power wireless acoustic sensor modules and data analysis using deep auto-encoder. Based on the Fourier transform, we propose a low-power wireless acoustic sensor module that reduces data traffic by reducing the ...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
D.-B. Yoon, S.-S. Moon, and B.-S. Yang, A Study on Acoustic Signal Processing Method for Detecting Small Leak of Piping System, Proceedings of the Domestic conference on the Korean Society for Noise and Vibration Engineering, pp. 139-139, Hoengseong, Korea, Oct. 2016.
J.-H. Bae, D. Yeo, D.-B. Yoon, S.W. Oh, G.J. Kim, N.S. Kim, and C.S. Pyo, Deep-Learning-Based Pipe Leak Detection Using Image-Based Leak Features, Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 2361-2365, Athens, Greece, Oct. 2018.
G. Cybenko, “Approximation by superpositions of a sigmoidal function,” Mathematics of Control, Signals, and Systems, Vol. 2, No. 4, pp. 303-314, 1989. https://doi.org/10.1007/BF02551274
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, Going Deeper with Convolutions, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1-9, Boston, USA, Jun. 2015.
K. Simonyan and A. Zisserman, Very Deep Convolutional Networks for Large-scale Image Recognition, Proceedings of 5th International Conference on Learning Representations (ICLR), pp. 1-14, San Diego, USA, May 2015.
K. He, X. Zhang, S. Ren, and J. Sun, Deep Residual Learning for Image Recognition, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1-12, Las Vegas, USA, Jun. 2016.
G. Huang, Z. Liu, L.V.D. Maaten, and K. Weinberger, Densely Connected Convolutional Networks, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2261-2269, Hawaii, USA, Jul. 2017.
S. Hpchreiter and J. Schmidhuber, "Long short-term memory," Neural computation, Vol. 9, No. 8, pp. 1735-1780, 1997. https://doi.org/10.1162/neco.1997.9.8.1735
V. Mnih, K. Kavukcuoglu, D. Silver, A. Graves, I. Antonoglou, D. Wierstra, and M. Riedmiller, "Playing atari with deep reinforcement learning," arXiv preprint arXiv:1312.5602, 2013.
V. Mnih, A. P. Badia, M. Mirza, A. Graves, T. P. Lilicrap, T. Harley, and K. Kavukcuoglu, "Asynchronous Methods for Deep Reinforcement Learning," arXiv preprint arXiv:1602.01783, 2016.
R. Chalapathy and S. Chawla, "Deep Learning for Anomaly Detection: A survey," arXiv preprint arXiv:1901:03407, 2019.
A. Borghesi, A. Bartolini, M. Lombardi, M. Milano, and L. Benini, Anomaly detection using autoencoders in high performance computing systems, Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 33, No. 01, pp. 9428-9433, Hawaii, USA, Jul. 2019.
T. Luo and S.G. Nagarajan, Distributed Anomaly Detection Using Autoencoder Neural Networks in WSN for IoT, Proceedings of 2018 IEEE International Conference on Communications (ICC), pp. 1-6, Kansas City, USA, May 2018.
J. Pereira and M. Silveira, Unsupervised Anomaly Detection in Energy Time Series Data using Variational Recurrent Autoencoders with Attention, Proceedings of 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1275-1282, Orlando, USA, Dec. 2018.
ASTM E1002-11(2018), "Standard Practice for Leaks Using Ultrasonics," American Society for Testing and Materials (ASTM) International, West Conshohocken, PA, 2018, https://doi.org/10.1520/E1002-11R18, www.astm.org.
NDIS 3420-2000: "Methods for Leak Test using Ultrasonics," Non-Destructive Inspection Society.
Y. Pei, The gas leak locating detection based on the improved ultrasonic transducer array group, Proceedings of the International Conference on Machinery, Materials Science and Engineering Application (MMSE), pp. 251-255, Wuhan, China, June, 2015.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.