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Zhang, Min
- Risk Assessment of the Chaancun Debris Flow Gully and Mitigative Measures in Dalian City, China
Abstract Views :130 |
PDF Views:129
Authors
Affiliations
1 College of Construction Engineering, Jilin University, CN
1 College of Construction Engineering, Jilin University, CN
Source
International Journal of Earth Sciences and Engineering, Vol 9, No 6 (2016), Pagination: 2480-2485Abstract
The Chaancun debris flow gully is located on the mountain slope of the crown of the Chaancun landslide. The hiking corridor, leisure square, Lvshun middle road, and Wangjiadian reservoir are situated below the debris flow track. The Chaancun debris flow gully poses a serious threat to the safety of this site and to the development of tourist attractions. First, an appropriate recognition of the debris flow gully is required by a field investigation. This gully is steep and straight. The weathered and denuded rocks coming from the fault zone are the debris source. In addition, concentrated rainfall occurs in this area. Therefore, the debris flow gully has the forming conditions of a debris flow. Many factors affect the formation and assessment of a debris flow, and they result in uncertainty, randomness, and fuzziness. Therefore, the fuzzy mathematics method is suitable for the risk assessment of debris flow. To improve the reliability of the risk assessment of the Chaancun debris flow gully, primary fuzzy assessment and secondary fuzzy assessment considering hierarchical analysis were undertaken for quantitative risk assessment. This gully was categorized as "extremely hazardous;" thus, appropriate mitigations such as building a concrete dam and planting in bare areas were designed and implemented.Keywords
Debris Flow, Risk Assessment, Fuzzy Mathematics, Mitigative Measures.Full Text
- The Dnazyme Anti-insulin-like Growth Factor-IIP3 Inhibited Tumour Growth in a Mouse Model of Human Hepatocarcinoma
Abstract Views :178 |
PDF Views:69
Authors
Affiliations
1 Medical Department, Beihua University, Jilin 132001, CN
2 Jilin Central General Hospital, Jilin 132001, CN
1 Medical Department, Beihua University, Jilin 132001, CN
2 Jilin Central General Hospital, Jilin 132001, CN
Source
Current Science, Vol 116, No 12 (2019), Pagination: 2072-2077Abstract
Insulin-like growth factor II promoter 3 (IGF-IIP3) is the most active promoter in live cancer cells. In this study, the anti-tumour growth effects of DRz1 were measured in a model of hepatoma-bearing mice. DRz1 significantly inhibited IGF-IIP3 expression and tumour growth in vivo. Compared to the sham-treated control group, DRz1 treatment attenuated the tumour volume and weight after 14 days of treatment. DRz1 could significantly inhibit the expression of IGF-IIP3, could inhibit the associated tumour-promoting proteins and could retard the growth of hepatocarcinoma tumours in vivo. These findings provide novel evidence for the anti-tumour effects of DRz1 in vivo.Keywords
Anti-Tumour Growth, Bearing Mouse Model, Hepatocellular Carcinoma, IGF-IIP3-DRz1.Full Text
References
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- Energy-aware routing based on link utilization in domain network
Abstract Views :88 |
PDF Views:0
Authors
Source
Indian Journal of Power and River Valley Development, Vol 70, No 11&12 (2020), Pagination: 186 - 192Abstract
noKeywords
Energy-aware routing, SDN, self-adaptive, link utilization
References
- Guangming, C. (2014): “Research on the key issues of green network and component sleeping”, Nanjing University of Posts.
- Zuo ,QingYun,(2013): “Research on Open Flow-based SDN technologies”, Journal of Software 24.5, :10781097.
- Christensen K, Nordman B, (2005): “Reducing the energy consumption of network device”, IEEE,
- Gunaratne C, Christensen K, Nordman B, et al, (2008): “Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR)”, IEEE Transactions on Computers, 57(4): 448-461.
- Nedevschi, Sergiu, (2008): “Reducing Network Energy Consumption via Rate-Adaptation and Sleeping” ,Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation USENIX Association, : 323-336.
- Kim, Young Min (2012): “Ant colony based selfadaptive energy saving routing for energy efficient Internet”, Computer Networks 56.10: 2343-2354.
- Cianfrani, A. (2010): “An Energy Saving Routing Algorithm for a Green OSPF Protocol”, INFOCOMIEEE Conference on Computer Communications Workshops, IEEE, (2010): 1-5.
- Chiaraviglio, L., M. Mellia, and F. Neri (2012): “Minimizing ISP Network Energy Cost: Formulationand Solutions”, IEEE/ACM Transactions on Networking.
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- Chiaraviglio, L., M. Mellia, and F. Neri (2009): “EnergyAware Backbone Networks: A Case Study”, Communications Workshops, ICC Workshops 2009. IEEE International Conference on IEEE, 1-5.
- Wang, Rui (2014): “Energy-aware routing algorithms in Software-Defined Networks”, A World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2014 IEEE 15th International Symposium on IEEE, 1-6.
- Xu, Guan (2015): “Bandwidth-Aware Energy Efficient Routing with SDN in Data CenterNetworks”, High Performance Computing and Communications (HPCC), 2015 IEEE 7th International Symposium on Cyberspace Safety and Security (CSS), 2015 IEEE 12th International Conference on Embedded Software and Systems (ICESS), 2015 IEEE 17th International Conference on IEEE.
- Wang Y, Chen H, Wu X. (2015): “An energy-efficient SDN based sleep scheduling algorithm for WSNs”, Journal of Network & Computer Applications.
- Bianzino, A.P. (2010): “Energy-Aware Routing: a Reality Check”, GLOBECOM Workshops (GC Wkshps), IEEE , 1422-1427.
- Lin, Heng, M. Xu, and Y. Yang (2015): “Robust EnergyAware Routing with Uncertain Traffic Demands”, IEEE International Conference on Computer Communications and Networks (ICCCN).
- Yang Xiao qin (2012): “Routing algorithm based on link bandwidth utilization rate”, Journal of Computer
- Applications, Sept.
- Guan Li’ an, Wang Binqiang, Zhu Xuanyong (2010): “Path Selection Algorithm Based on Residual
- Bandwidth and Link Utilization Rate of Next Hop”, Telecommunications Science.
- Wang Xinhong (2005): “TE Routing Algorithm to Minimize Maximum Link Utilization”, MINI-MICRO
- SYSTEMS, March .
- Energy-aware Routing Based on Link Utilization in Domain Network
Abstract Views :73 |
PDF Views:0
Authors
Affiliations
1 Institute of Software and Intelligent Technology, Hangzhou Dianzi University, Hangzhou 310018, CN
1 Institute of Software and Intelligent Technology, Hangzhou Dianzi University, Hangzhou 310018, CN
Source
Indian Journal of Power and River Valley Development, Vol 72, No 1&2 (2022), Pagination: 25-31Abstract
Aimed at the characteristic of the software defined network (SDN), several green routing algorithms are proposed. However, there are many drawbacks consisted in the existing algorithms. Therefore, we propose a self-adaptive energy saving routing algorithm (LAR) which is based on residual bandwidth of links and SDN. The proposed algorithm makes the link utilization which is changing in real time as the link cost. It would obtain the topology information and link status to optimize and prune the topology for reducing the computing time of routing algorithm before selecting routing path. After a period of time, the incoming flows will automatically be gathered in heavily-loaded links. The links without traffic will be switched off while the whole network connectivity and QoS are guaranteed. Simulation results show that it is possible to reduce considerable energy consumption during off-peak hours and link energy saving can be up to 55%. And, the algorithm has the distinct advantage in terms of complexity and network performance comparing related schemesKeywords
Energy-aware Routing, SDN, Self-adaptive, Link Utilization.References
- Guangming, C, (2014): “Research on the key issues of green network and component sleeping”, Nanjing University of Posts.
- Zuo, Qing Yun(2013): ,”Research on OpenFlow-based SDN technologies”, Journal of Software 24.5, 1078-1097.
- Christensen K, Nordman B, (2005): “Reducing the energy consumption of network device”, IEEE.
- Gunaratne C, Christensen K, Nordman B, et al, (2008): “Reducing the Energy Consumption ofEthernet with Adaptive Link Rate (ALR) “, IEEE Transactions on Computers, ,57(4): 448-461.
- Nedevschi, Sergiu (2008): “Reducing Network Energy Consumption via Rate-Adaptation and Sleeping”, Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation USENIX Association, 323-336.
- Kim, Young Min (2012): “Ant colony based self-adaptive energy saving routing for energy efficient Internet”, Computer Networks 56.10:2343-2354.
- Cianfrani, A.(2010): “An Energy Saving Routing Algorithm for a Green OSPF Protocol”, INFOCOMIEEE Conference on Computer Communications Workshops, IEEE, 1-5.
- Chiaraviglio, L., M. Mellia, and F. Neri (2012): , “Minimizing ISP Network Energy Cost: Formulation and Solutions”, IEEE/ACM Transactions on Networking.
- Chiaraviglio, Luca, M. Mellia, and F. Neri,(2009): “Reducing Power Consumption in BackboneNetworks”, IEEE International Conference on Communications, 1-6.
- Chiaraviglio, L., M. Mellia, and F. Neri(23009): “EnergyAware Backbone Networks: A Case Study”, Communications Workshops, 2009. ICC Workshops 2009. IEEE International Conference on IEEE, 1-5.
- Wang, Rui, (2014): “Energy-aware routing algorithms in Software-Defined Networks”, AWorld of Wireless, Mobile and Multimedia Networks (WoWMoM), 2014 IEEE 15th International Symposium on IEEE, :1-6.
- Xu, Guan,(2015): “Bandwidth-Aware Energy Efficient Routing with SDN in Data Center Networks”, High Performance Computing and Communications (HPCC), 2015 IEEE 7th International Symposium on Cyberspace Safety and Security (CSS), IEEE 12th International Conference on Embedded Software and Systems (ICESS), 2015 IEEE 17th International Conference on IEEE.
- Wang Y, Chen H, Wu X, (2015): “An energy-efficient SDN based sleep scheduling algorithm for WSNs”, Journal of Network & Computer Application.
- Bianzino, A. P. (2010): “Energy-Aware Routing: a Reality Check”, GLOBECOM Workshops(GC Wkshps),14221427.
- Lin, Heng, M. Xu, and Y. Yang. (2015): “Robust Energy- Aware Routing with Uncertain Traffic Demands”, IEEE International Conference on Computer Communications and Networks (ICCCN).
- Yang Xiao qin, (2012): “Routing algorithm based on link bandwidth utilization rate”, Journal of Computer Applications, Sept.
- Guan Li’ an, Wang Binqiang, Zhu Xuanyong, (2010): “Path Selection Algorithm Based on Residual Bandwidth and Link Utilization Rate of Next Hop”, Telecommunications Science.
- Wang Xinhong, (2005): “TE Routing Algorithm to Minimize Maximum Link Utilization”, MINI-MICRO SYSTEMS, Mar.