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| 1 | Effects of emitter discharge rates on soil salinity distribution and cotton(Gossypium hirsutum L.) yield under drip irrigation with plastic mulch in an arid region of Northwest China显示文摘A field experiment was carried out to investigate the effects of different emitter discharge rates under drip irrigation on soil salinity distribution and cotton yield in an extreme arid region of Tarim River catchment in Northwest China.Four treatments of emitter discharge rates,i.e.1.8,2.2,2.6 and 3.2 L/h,were designed under drip irrigation with plastic mulch in this paper.The salt distribution in the range of 70-cm horizontal distance and 100-cm vertical distance from the emitter was measured and analyzed during the cotton growing season.The soil salinity is expressed in terms of electrical conductivity(dS/m) of the saturated soil extract(EC e),which was measured using Time Domain Reflector(TDR) 20 times a year,including 5 irrigation events and 4 measured times before/after an irrigation event.All the treatments were repeated 3 times.The groundwater depth was observed by SEBA MDS Dipper 3 automatically at three experimental sites.The results showed that the order of reduction in averaged soil salinity was 2.6 L/h > 2.2 L/h > 1.8 L/h > 3.2 L/h after the completion of irrigation for the 3-year cotton growing season.Therefore,the choice of emitter discharge rate is considerably important in arid silt loam.Usually,the ideal emitter discharge rate is 2.4-3.0 L/h for soil desalinization with plastic mulch,which is advisable mainly because of the favorable salt leaching of silt loam and the climatic conditions in the studied arid area.Maximum cotton yield was achieved at the emitter discharge rate of 2.6 L/h under drip irrigation with plastic mulch in silty soil at the study site.Hence,the emitter discharge rate of 2.6 L/h is recommended for drip irrigation with plastic mulch applied in silty soil in arid regions. | Sulitan DANIERHAN Abudu SHALAMU Hudan TUMAERBAI DongHai GUAN | 2013 | Journal of Arid Land2013，5，1： | 15 |
| 2 | Cou- pled GSI-SVAT model with groundwater-surface water interac- tion in the riparian zone of Tarim River 显示文摘 | DANIERHAN Sulitan ABUDU Shalamu GUAN Donghai | 2013 | Journal of Hydrologic Engineering2013，10，： | 1 |
| 3 | The Small- world Trust Network显示文摘 | Yuan Weiwei Guan Donghai Lee Young-Koo | 2011 | Applied Intelligence2011，35，3： | 1 |
| 4 | Improving Supervised Larning Performance by Using Fuzzy Clustering Method to Select Training Data显示文摘 | Donghai Guan Weiwei Yuan Young-Koo Lee | 2008 | Journal of Intelligvnt & Fuzzy Systems2008，19，32： | 1 |
| 5 | A coupled GSI-SVAT model with groundwater-surface water interaction in the riparian zone of Tarim River 显示文摘 | SULITAN Danierhan SHALAMU Abudu GUAN Donghai | 2013 | Journal of Hydrologic Engineering2013，18，10： | 1 |
| 6 | Iron deficiency anemia in Helicobacter pylori infection: meta-analysis of randomized controlled trials显示文摘 | Yuan Wenzhen Li Yumin Yang Kehu Ma Bin Guan Quanlin Wang Donghai Yang Lijuan | 2010 | Scandinavian Journal of Gastroenterology2010，，6： | 1 |
| 7 | Improved Trust-Aware Recommender System Using Small- Worldness of Trust Networks 显示文摘 | YUAN Weiwei GUAN Donghai Lee Y K | 2010 | Knowledge-Based Systems2010，23，3： | 1 |
| 8 | Improved trust-aware recommender system using small-worldness of trust networks显示文摘 | Yuan Weiwei Guan Donghai Young-Koo Lee | 2010 | Knowledge-Based Systems2010，23，3： | 1 |
| 9 | Improved trustaware recommender system using smallworldness of trust networks显示文摘 | YUAN Weiwei GUAN Donghai LEE Y K | 2010 | KnowledgeBased Systems2010，23，3： | 1 |
| 10 | Improving supervised learning performance by using fuzzy clustering method to select training data显示文摘 | Guan Donghai Yuan Weiwei Lee Youngkoo | 2008 | Journal of Intelligent and Fuzzy Systems2008，19，4： | 1 |
| 11 | Iron deficiency anemia in Helicobacter pylori infection: meta-analysis of randomized controlled trials显示文摘 | Yuan Wenzhen Li Yumin Yang Kehu Ma Bin Guan Quanlin Wang Donghai Yang Lijuan | 2010 | Scandinavian Journal of Gastroenterology2010，，6： | 1 |
| 12 | A Distributed Covert Channel of the Packet Ordering Enhancement Model Based on Data Compression显示文摘Covert channel of the packet ordering is a hot research topic.Encryption technology is not enough to protect the security of both sides of communication.Covert channel needs to hide the transmission data and protect content of communication.The traditional methods are usually to use proxy technology such as tor anonymous tracking technology to achieve hiding from the communicator.However,because the establishment of proxy communication needs to consume traffic,the communication capacity will be reduced,and in recent years,the tor technology often has vulnerabilities that led to the leakage of secret information.In this paper,the covert channel model of the packet ordering is applied into the distributed system,and a distributed covert channel of the packet ordering enhancement model based on data compression(DCCPOEDC)is proposed.The data compression algorithms are used to reduce the amount of data and transmission time.The distributed system and data compression algorithms can weaken the hidden statistical probability of information.Furthermore,they can enhance the unknowability of the data and weaken the time distribution characteristics of the data packets.This paper selected a compression algorithm suitable for DCCPOEDC and analyzed DCCPOEDC from anonymity,transmission efficiency,and transmission performance.According to the analysis results,it can be seen that DCCPOEDC optimizes the covert channel of the packet ordering,which saves the transmission time and improves the concealment compared with the original covert channel. | Lejun Zhang Xiaoyan Hu Zhijie Zhang Weizheng Wang Tianwen Huang Donghai Guan Chunhui Zhao Seokhoon Kim | 2020 | Computers, Materials & Continua2020，，9： | 0 |
| 13 | Heterogeneous information network embedding with incomplete multi-view fusion显示文摘1 Introduction and main contributions Multi-view based HIN embedding method embeds the multiple views of heterogeneous information networks(HIN)to the low-dimensional space.It can preserve rich structural and semantic information by using HIN data of multiple views[1,2].In real networks,relations are partially observed due to privacy issues or other reasons,resulting in the incompleteness of single view[3,4].Existing methods usually ignore this problem,which lead to data sparse and it is difficult to extract the hidden semantic relationship of HIN. | Susu ZHENG Weiwei YUAN Donghai GUAN | 2022 | Frontiers of Computer Science2022，16，5： | 0 |
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