Showing 2,581 - 2,600 results of 10,771 for search 'Big3~', query time: 1.16s Refine Results
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    5G network intelligent scheduling based on core network analysis and decision by Qingyang WANG, Zhibin YANG, Biao LONG, Haoquan LIANG

    Published 2021-09-01
    “…Larger bandwidth and complex technology of the 5G networks inevitably bring a significant increase in overall energy consumption, so green energy-saving of mobile networks has attracted widespread attention.The long-term coexistence of 5G and 4G, as well as the wide coverage of low-frequency and the wide bandwidth characteristics of high-frequency of 5G, enable different types of services to be carried by different carriers of 5G or 4G respectively.Based on the above considerations, a 5G network intelligent scheduling scheme based on corenetwork analysis and decision was proposed, which could schedule different types of services to different radio access and frequencies for carrying, so as to achieve service assurance and energy-saving.Simulation results reveal that, compared with the existing schedule scheme within radio access network, 5G network intelligent scheduling has advantages in energy saving while ensuring quality of service.Finally, the progress of international standardization of 5G network intelligent scheduling was introduced.…”
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    Challenges of <i>Dermanyssus gallinae</i> in Poultry: Biological Insights, Economic Impact and Management Strategies by Péter Sárkány, Zoltán Bagi, Ágnes Süli, Szilvia Kusza

    Published 2025-01-01
    “…Bird mites are parasites that feed on both wild and domesticated bird species, causing severe degradation in avian welfare. …”
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    Load balancing based on clustering analysis and deep learning for multi-frequency and multi-mode network by Yaxing QIU, Xidong WANG, Sen BIAN, Lei YUE

    Published 2020-07-01
    “…Load balancing is a huge challenge for LTE multi-frequency and multi-mode network.Hundreds of parameters are involved in load balancing for the complex network structure.Therefore,it is difficult to perform precise and meticulous configuration only relying on human experience.In order to cope with the challenge,a load balancing scheme based on clustering analysis and deep learning was proposed.Firstly,the key indicators were selected to identify the network scenes,and then big data and deep learning technologies were used to mine the relationship between data.Finally,the optimum system parameters for different network scenes were found.It has been proved that machine learning technology can greatly improve the accuracy and the efficiency of parameter configuration.…”
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    Meshing Characteristic Analysis of the Gear Rack Drilling Rig Hoisting System by Lei Na, Chang Yulian, Bian Cheng, Ren Fushen

    Published 2015-01-01
    “…The gear rack drilling rig hoisting system adopts statically indeterminate structure design,in the process of drill-down and lifting,the loading asymmetry influences the synchronism of gear rack meshing movement.Therefore,it is very important to study the meshing characteristic of gear rack in the case of asymmetric loading.The meshing synchronism of gear rack in cases of different types of loading is analyzed with the gear as the research object based on finite element analysis of gear rack meshing through ABAQUS and by the use of joint simulation method of ADAMS and Solid Works,and intensity checking is conducted on each gear.Through calculation and analysis,that force of gear partial to asymmetric loading is greater than that of another side,but the difference is within tolerance.Taking fatigue factor into account,it is required to increase gear strength.…”
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    An educational advancement in the form of Andragogy based education: A comparison of two different peer assisted learning strategies by Nirmala Anand, Vijaya Dandannavar, Rajesh Shenoy, Jaysheela Bagi

    Published 2025-01-01
    “…The process of reflective writing in these students was highly appreciated. Feedback indicated high student interest and perceived improvement in deductive thinking, analytical skills, practical understanding, and concept organization. …”
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    Inhibitory Effects of Apigenin on Tumor Carcinogenesis by Altering the Gut Microbiota by Shichang Bian, Hongjuan Wan, Xinyan Liao, Weisheng Wang

    Published 2020-01-01
    “…The size and quantity of tumors were reduced significantly in the apigenin treatment group. Using 16S rRNA high-throughput sequencing of fecal samples, the composition of gut microbiota was significantly affected by apigenin. …”
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    Study on Landscape Fractal of Different Vegetation Coverage in Hilly Area of South China— Taking Conghua District of Guangzhou City as an Example by CHANG Jin, XIANG Huichang, BIAN Zhen, LIAO Jianwen

    Published 2021-01-01
    “…Based on the fractal theory,this paper calculates the area,fractal dimension and stability index of patches with different vegetation coverage in Conghua District,and analyzes the distribution and variation law of patch fractal characteristics in different elevation,slope and aspect.The results show that:①The vegetation condition in Conghua District is generally good,and the patch area with medium (&gt;45%) and above vegetation coverage accounts for 86.7% of the total vegetation area.The farther it is from towns and highways,the more complex and irregular the patch shape is.② When the elevation is less than 90 m,the proportion of patch area with low,medium and low vegetation coverage is larger,and the shape of all kinds of patches is fragmented and complex.When the elevation is higher than 90 m,the fractal dimension of patches increases and the stability decreases with the increase of elevation.③The topographic slope in Conghua District is mainly below 25 degrees.The patches with low and middle vegetation coverage are mainly distributed in the area below 15 degrees,while those with high vegetation coverage are dominant in the area above 15 degrees.With the increase of slope,the fractal dimension and stability index of patches with the same vegetation coverage do not change significantly.④The vegetation condition of sunny slope is better than that of shady slope,but the patch structure of shady slope is more complex.…”
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