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Online since: July 2011
Authors: Hai Xia Sun, Si Li Chen, Hai Yu Wu
By the well seepage prevention performance, construction safety, time controllable and impacting surrounding environment scarcely, shield construction has become an important optional tunnel construction method in the fields of subway in China at present.
And establish the finite element numerical model approximation true as far as possible with repeated numerical simulation analysis in the soil deformation caused by the shield tunneling construction advance, to seek the rule of its displacement change and understanding the change of stratum’s stress and surface subsidence to ensure safety construction.
[2] PECK R B. : Proceedings of the 7th International Conference on Soil Me-chanics and Foundation Engineering, Mexico City: [s. n.](1969), p.225
[5] LOGANATHAN N, POULOS H G. : Journal of Geotechnical and Environmental Engineering Vol.124 (1998), p.846
[6] Fengxiang Zhang, Deming Fu, Guoxiang Yang, Zhaochi Xiang.in: Shield tunnel construction manual ,People's traffic press, Beijing(2005), in press [7] Jianhai Liu.
Online since: December 2014
Authors: Xin Wen, Zhi Fei Hu
Therefore, it is significant to study the deformation law of longitudinal seam between shield tunnel segments for shield tunnel design and the safety of operation period.
Accordance with the theory calculation, and the reference of domestic and international values taken on shield tunnel, the shield tunnel project that has diameter greater than 10m, its magnitude of segment joint rotational stiffness is 105 kN·m/rad, and the maximum value is 8×105kN·m/rad
Vol.5 69-71, 81. (2003) (in Chinese) [2] Dongyang Zeng, Chuan He: Chinese Journal of Underground Space and Engineering.
(in Chinese) [6] Zhengrong Huang, Wei Zhu, Jinghua Liang: Shanghai international tunnel engineering Symposium.
Vol.2 544-552. (2000) (in Chinese) [7] Hehua Zhu, Maoyu Cui, Jingsong Yang: Journal of Geotechnical Engineering.
Online since: July 2013
Authors: Jim Jui Min Lin, Mei Chuan Huang, Kuang Hung Cheng, Mei Fang Lu
Characteristics of the Spatial and Temporal Variations of Ambient PM2.5 Concentration at Kaohsiung City Mei-Fang Lu1,a, Mei-Chuan Huang1,b, Kuang-Hung Cheng1,c, Jim Juimin Lin2,d 1 Institute of Engineering Science and Technology, National Kaohsiung First University of Science and Technology, Nanzih, Kaohsiung City, 811, Taiwan 2 Department of Safety, Health, and Environmental Engineering, National Kaohsiung First University of Science and Technology, Nanzih, Kaohsiung City, 811, Taiwan aemily@windsorw.com.tw, bjas@windsorw.com.tw, cu9415923@nkfust.edu.tw, denvelin@nkfust.edu.tw Keywords: spatial and temporal variation, PM2.5, Taiwan Abstract.
The industrial operation and busy traffic in Kaohsiung City have generated a substantial amount of pollutants [7], which threaten the health of people chronically exposed to these air pollutants, increasing social cost.
Data from the two traffic-type monitoring stations were eliminated in order to better capture the general PM2.5 concentration change of Kaohsiung City.
In the morning, because of an increase in traffic volume, PM2.5 concentration was higher.
Wichmann: International Journal of Hygiene and Environmental Health Vol. 207 (2004), p. 399
Online since: October 2014
Authors: Shun Zou, Yu Fei Lin, Juan Chen, Qian Wang, Yu Cao
The communication traffic between nodes is proportional to the cells number in boundary interface.
Fortin: Journal of non-newtonian fluid mechanics 60 (1995) 27–52
Spalding: International Journal of Heat and Mass Transfer 15 (1972) 1787 – 1806
Issa: Journal of Computational Physics 62 (1986) 40 – 65
Phan-Thien: Journal of Rheology 22 (1978) 259
Online since: August 2010
Authors: Zhi Wu Zhu, Jian Guo Ning
In case of stress and displacement increasing to certain extent, we must consider safety condition for traffic.
Lewis, "Coupling temperature to a double-porosity model of deformable porous media", International Journal for Numerical Methods in Engineering, vol 49, 2000, p.421-438
Roegiers, "Fluid flow and heat flow in deformable fractured porous media", International Journal of Engineering Science, vol 32, 1994, p.1615-1633
Online since: January 2013
Authors: Bi Ying Zhang, Wen Hu, Jian Feng, Wen He Sun
Gao, “A Database Cluster System Framework for Managing Massive Sensor Sampling Data in the Internet of Things”, Chinese Journal of Computers, vol.35, no.6, pp.1175-1191, June 2012
Cardenas, “Multiobjective genetic generation of fuzzy classifiers using the iterative rule learning”, In: Proceedings of 2012 IEEE International Conference on Fuzzy Systems, pp.1-8, June 2012
Maia, “Internet traffic classification using a Hidden Markov Model”, In: Proceedings of 2010 10th International Conference on Hybrid Intelligent Systems, pp.37-42, Aug.2010
Wang, “The algorithm of text classification based on rough set and support vector machine”, In: Proceedings of 2010 2nd International Conference on Future Computer and Communication, vol.1, pp.365-368, May 2010
Sun, “Study on web classification mining method based on fuzzy neural network”, In: Proceedings of IEEE International Conference on Automation and Logistics, pp. 1781-1785, Aug. 2009
Online since: May 2017
Authors: K.M. Gupta, Nishu Gupta, Zain Hashim
Many challenges like reduced data rate, heavy data traffic, narrow bandwidth and reduced capacity are rising due to the scarce radio resource.
Zhao: Energy Efficiency Metrics for Low-Power Near Ground Level Wireless Sensors, The Third International Workshop on Green Optimized Wireless Networks (2015)
Uusitalo: Significance of Nanotechnology for Future Wireless Devices and Communications, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) (2007), p. 1-5
Tripathi: Clustering based Cognitive MAC Protocol for Channel Allocation to Prioritize Safety Message Dissemination in Vehicular Ad-hoc Network, Vehicular Communications, Elsevier Vol. 5 (2016), p. 44-54
Islam: The All Pervading Nanosensors, International Journal of Nanotechnology, Special Issue on Nanosensors Vol. 5 (2008), No. 4-5.
Online since: November 2021
Authors: Yue Fei Liu, Xue Ping Fan, Sen Wang
Structural Safety, 44: 102-109(2013)
Structural Health Monitoring-An International Journal, 16(3): 253-261(2017)
Prediction of extreme traffic load effects of bridges using Bayesian method and application to bridge condition assessment, Journal of Bridge Engineering, 24(3): 04019003(2019)
Journal of Classification, 15(1): 154-156(1998)
Three-phase classification of an uninterrupted traffic flow: a k-means clustering study.
Online since: November 2013
Authors: Jie Ping Chen, Yin Hu Qiao, Wu Tang Feng, Wan Shan Guo
Moreover, it has drawn increasing attention for its low cost, safety, and a performance close to an active suspension[1~3].
The a will be smaller with the velocity increasing of car, increase vehicle safety in high speed.
Based on national standards and traffic regulations, the inter-state highway speed limit falls mostly in the 60-80 km/h range, and the highway speed limit is 120 km/h.
Journal of Mechanical Engineering, 2009,45(7):221-227(In Chinese) [8] D.
ASME Journal of Engineering for Industry, 1974,96(2):619~626
Online since: April 2014
Authors: Jing Fan, Nan Chen, Min Min Xiang, Jin Shuai Qu
Thus, by reducing or eliminating redundant data in order to optimize network traffic, Shown in Fig.4, we can say that with the help of data aggregation process we decrease the number of data, as well as reducing the MAC layer multiple access control to achieve energy savings [7].
transmitted to the relay node i,In this case the waiting time of the packet WTi calculated as Eq. 1 WTi=Tdeadline-Hops*EHD2-1Hops*α (1) Hops=di,sinkdi,next (2) Where,Tdeadline is used to indicate how much time it remains for the packet before its deadline and has an important role in making routing decisions;EHD The value of single-hop time delay estimation (including channel competition, transmission time, and the queuing time);di,sink and di,next is Euclidean distance.Given two nodes geographic locationx1,y1,x2,y2,Euclidean distance calculation formula asEq. 3 x2-x12+y2-y12 (3) The parameter α is a constant factor used to leave some remaining time as a safety
In this article, we set the parametersα=0.7, Means that packet to the target delay is set to 0.7 times the available idle time, leaving the remaining time as a safety margin.At relay aggregation node i, polymerization adopt FIFO queue model[10],Set aggregation queue size is D, That i nodes can aggregate maximum number of packets,Then aggregation into a packet is forwarded to the next node.
Lin, Effective data aggregation supported bydynamic routing in wireless sensor networks, in:Proceedingsof the IEEEInternational Conference on Communications (ICC’10), pp. 1–6 [7] Kiran Maraiya, Kamal Kant, Nitin Gupta.Wireless Sensor Network: A Review on DataAggregation.International Journal of Scientific & Engineering Research Volume 2, Issue 4, April -2011.ISSN 2229-5518 [8] H.
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