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For example, Sund studied the effect of ambient temperature for natural gas pipeline networks. Reddy et al. used the transfer function model of the natural gas pipeline as the basis for developing a dynamic simulator of the natural gas pipeline network. The temperature variation along the pipe and unknown demands were considered for simulation and analysis.

23, no. 16, p. 20480, Aug. 2015. Kodi, B. Neel, and W. C. Brantley, “Power and performance analysis of scalable photonic networks for exascale architecture,” in Green Computing Conference and Sustainable Computing Conference , 2015 Sixth International, 2015, pp. 1-8. Yu and A. W. Poon, “Actively stabilized silicon microring resonator switch arrays for optical interconnects,” in SPIE OPTO, 2016, p. 97510Q–97510Q. Liboiron-Ladouceur, “Modeling fabrication non-uniformity in chip-scale silicon photonic interconnects,” in Proceedings of the 2016 Conference on Design, Automation & Test in Europe, 2016, pp. 115–120.

Lu et al. proposed an optimized intelligent recurrent wavelet-based Elman neural network for dynamic simulation and optimized control of the integration of offshore wind and wave energy conversion systems. With the competition in the natural gas market, daily natural gas management and dispatch is gathering momentum for investment. The core of ensuring the optimal dispatch of daily natural gas is to establish an accurate dynamic model. Research on the dynamic model of natural gas pipelines has been carried out. The research improved the calculation efficiency of complex natural gas pipelines.

Poon and Q. F. Stout, “An optimal time-power tradeoff for sorting on a mesh-connected computer with on-chip optics,” International Journal of Networking and Computing, vol. 4, no. 1, pp. 70-87, 2014. Wu, C.-H. Chen, T.-C. Huang, R. Beausoleil, and K.-T. Cheng, “Spatial pattern analysis of process variations in silicon microring modulators,” in IEEE Optical Interconnects Conference , 2016. Liu, S. Sun, A. Majumdar, and V. J. Sorger, “Physical Scaling Laws of Nanophotonics,” in Frontiers in Optics, 2016, p.

Shixi network technology is very different from most other networking companies in the industry because their products are designed to be used in wireless environments. This gives us a huge advantage because we use the best wireless LAN and wireless networking technology available. All of our products are designed to meet the needs of both commercial and residential environments. The gas path fault diagnosis is considered widely to ensure the economy, safety and practicability of gas turbines. Traditional gas path diagnosis methods are vulnerable to various uncertainties, resulting in a deviation between the diagnostic results and the real states, which brings huge potential safety hazard to industrial production.

Zhang, J. L. Abellan, A. Joshi, and A. K. Coskun, “Thermal management of many core systems with silicon-photonic networks,” in Design, Automation and Test in Europe Conference and Exhibition , 2014, pp. 1-6. G. Thakkar, S. V. R. Chittamuru, and S. Pasricha, “A comparative analysis of front-end and back-end compatible silicon photonic on-chip interconnects,” in System Level Interconnect Prediction , 2016 ACM/IEEE International Workshop on, 2016, pp. 1–8. Tala, M. Castellari, M. Balboni, and D.

Chaczykowski et al. discussed the contributing factors to the gas temperature changes during the flow within the natural gas pipeline, and studied the effect of one-dimensional steady and unsteady state heat transfer model. In addition, some researchers have also studied the ggpoker terms and conditions effect of key factors of natural gas pipeline networks. Behrooz et al. established a dynamic model of natural gas pipeline network based on ordinary differential equations, and studied the pipeline network optimization method considering the uncertainty of customer demand.

23, no. 2, p. 1159, Jan. 2015. Kennedy and A. K. Kodi, “On-demand laser power allocation for on-chip optical interconnects,” in IEEE Optical Interconnects Conference , 2016, 2016, pp. 68–69. The pressure signal characteristics in the low-pressure gas pipeline inside building are covered up by complex noise, and it is difficult to collect leakage samples.

Andrew W. Poon, Fang Xu, and Xianshu Luo, “Cascaded active silicon microresonator array cross-connect circuits for WDM networks-on-chip,” Silicon Photonics III Conference, Photonics West 2008. Somayyeh Koohi, Shaahin Hessabi, “Hierarchical opto-electrical on-chip network for future multiprocessor architectures,” Journal of Systems Architecture, Volume 57, Issue 1, January 2011, Pages 4-23. Thylen, P. Holmstrom, and L. Wosinski, “Low power nanophotonics and its applications in data centers,” in Transparent Optical Networks , 2014, pp. 1-3. C122-C123. Wen, H. Guan, D. M. Calhoun, D. Donofrio, and J.

Two ranking-based methods to reduce noise and select effective training data for multi-instance multi-label learning MIML, one of the most popular learning paradigms for distantly supervised relation extraction. This is Shenzhen Shixi Electronic Technology Co., Ltd. Our company. Founded in 2012, our company is a consumer electronics manufacturing company integrating design, R&D, production and packaging. We have our own factories and transportation companies.