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电力杆塔与5G站址开展共享共建，对提高资源利用效率、降低电信企业成本具有现实意义。构建电力杆塔与5G站址规划以及典型应用场景的规模化匹配方法，对于优化提升电力杆塔共享匹配度，摸底电力杆塔资源共享潜力，做好电力杆塔共享资源大范围推广后的统筹优化至关重要。针对电力杆塔和5G站址，构建了基于站距和站高的规模化匹配方法，以及考虑技术、政策和商业约束等情景的匹配度测算方法，并以福州长乐全域为例进行实证分析。结果显示，不同场景下电力杆塔和5G站址的匹配度差别较大，市人口密集区、工业园区匹配度可达50%，高铁沿线匹配度不足10%。若进一步考虑技术、政策、商业约束要素，则匹配度将进一步缩小，在四重要素叠加下，匹配度约为14%。虽然匹配程度不足，但考虑到全国电力杆塔和5G站址体量巨大，依然具备较大的共享潜力和良好的合作空间。

The reasonable matching of water and land resources is conducive to transform resources advantages into economic advantages and promote agricultural sustainable development. Based on the perspective of water footprint, using the water-soil matching degree and gravity center migration models, combined with ArcGIS 10.2 software, the sown area and water footprint of economic crops in eight provinces of the Yellow River Basin (excluding Sichuan Province) were analyzed and the spatial-temporal matching patterns and the evolution characteristics of the gravity center were discussed. The results show that the sown area of 5 types of economic crops including cereals in the Yellow River Basin is increased gradually, the 6 crops such as beans is decreased constantly, while the oilseeds remain relatively stable. The sown area is different in the upper, middle and lower reaches of the Yellow River area, which is high in the east and low in the west. The fluctuation of water footprint of 6 types of economic crops such as cereals is increased, but 6 types such as beans is decreased; and the water footprint of economic crops is different in the upper, middle and lower reaches of the Yellow River area, which is high in the eastern and central and low in the western. The water and land matching degree of economic crops in the Yellow River Basin has an increasing trend, which is high in the central and southern regions, low in the north and west; and the gravity centers transfer from northeast to southwest, which show the changes in four stages. Therefore, it is necessary to reduce the planting of high water-consuming crops, promote water-saving irrigation technology, develop water-saving agriculture and implement water system connectivity projects, so as to realize the optimal allocation and efficient use of water and land resources in eight provinces of the Yellow River Basin. [ABSTRACT FROM AUTHOR]

Copyright of Tourism Tribune / Lvyou Xuekan is the property of Tourism Institute of Beijing Union University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Water Conservancy Science & Techonlogy & Economy is the property of Water Conservancy Science & Technology & Economy Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Nankai Business Review is the property of Nankai Business Review Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to systematically analyze and accurately quantify the matching characteristics of water resources and economic and social development in prefecture-level cities, typical factors such as total water resources, water consumption, population, GDP and cultivated area were selected in this paper, and a new quantitative research idea that simultaneously applying the calculation methods of matching degree based on Gini coefficient and data sequence was proposed. Taking 10 prefecture-level cities along the Shaying River as examples, this paper quantitatively analyzed the spatial-temporal matching relationship between water resources and economic and social development from 2009 to2018. The results show that the application of the above two methods can comprehensively study the matching issue of the two systems elements from the perspective of the whole time/space and the single city/time. There are some differences in the temporal Gini coefficient among prefecture-level cities, but the matching degree of different elements is basically consistent and the results are all good. Except that the temporal matching degrees of total water resources and GDP, water consumption and GDP present a low-high-low evolution trend, the results of other elements present a fluctuation trend over time. The spatial Gini coefficient varies little on the time scale, while there are significant differences among different matching elements. The spatial matching degree is basically consistent in time and the results of some prefecture level cities are poor, especially in Zhengzhou, Nanyang and Zhumadian cities. [ABSTRACT FROM AUTHOR]

With the advancement of urbanization, reasonable allocation of public service resources is crucial for the sustainable development of cities and other regions. Education is the cornerstone of national revitalization and social progress; thus, the spatial distribution of educational resources should be in line with the overall trend of population distribution. This study attempts to evaluate the status of basic educational resource allocation on a finer scale based on population spatialization and POI (Point of Interest) data. We studied Changsha City in Hunan Province, where the 2018 census data were distributed into 100-m grids using POI, nighttime light, land use, road network, DEM (Digital Elevation Model), and other data as control variables based on the Random Forest model. We analyzed the spatial accessibility of basic education resources using cost weighted raster analysis and calculated the matching degree between the supply and demand of the resources using the improved potential model. The findings indicate that: 1) At the village (community) scale, the linear correlation coefficient (R2 ) of the population density between the result of population spatialization and the census data reached 0.73, which is better than WorldPop (World Population Dataset). Overall, the population distribution was displayed as a spatial distribution pattern of "one main-two sub-multi points", which could reflect the spatial characteristics of the population distribution in detail. 2) The spatial accessibility of the basic educational resources in Changsha was generally good: 97.72%, 96.20%, and 89.46% of the residents can reach the nearest primary schools, middle schools, and high schools, respectively, within 30 minutes. The difference in accessibility between the urban and rural areas was significant: the accessibility of the basic educational resources in facilities-intensive and traffic-developed areas was good and the villages (communities) with bad accessibility to basic education resources were concentrated in large counties with a large population of woodland and mountainous areas, especially in the surrounding mountainous areas of Liuyang County. 3) Generally, the basic educational resources in the urban areas of Changsha City and Liuyang and Ningxiang counties were in a balanced state of supply and demand; however, there were some areas where improvements were required. The matching degree between the supply and demand of basic education resources in towns was slightly higher, whereas in rural areas, it was mostly in a high-value state within the service radius and the intensity gradually decreased with facilities as the center. Therefore, it is necessary to strengthen the allocation of school buses and the ability of schools to receive boarding students to expand the scope of student sources. Previous studies mostly used large-scale census data, which ignored the spatial differences within each administrative unit. While some studies used small-scale census data such as those on residential quarters and buildings, however, these data are often difficult to obtain. This study provides research ideas for the precise assessment of the status of urban public service resource allocation and support for the diagnosis and improvement of the shortcomings of the basic educational resource allocation in Changsha City. [ABSTRACT FROM AUTHOR]

Lack of patent information service ability of academic librarians is one of the main reasons that restrict the development of in-depth service. Based on Boyatzis's quality model, this paper builds the evaluation index system to explore the status of patent information service ability of academic libraries and the gap between the status and requirement. Through analyzing the survey results the study summarized the actual capacity value and the ideal capacity via 12 core patent information services. It shows that the gap in knowledge/skill level seriously affected the service efficiency. Finally, the study suggests four strategies to improve the technical field ability, patent retrieval and analysis ability, patent intelligence analysis ability and patent knowledge. [ABSTRACT FROM AUTHOR]

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Changzhou University (Social Science Edition) is the property of Editorial Department of Journal of Changzhou University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal on Communication / Tongxin Xuebao is the property of Journal on Communications Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal on Communication / Tongxin Xuebao is the property of Journal on Communications Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Based on the runoff data from mountainous watershed and precipitation data in the source area of Heihe River, mathematical methods including correlation analysis, variation coefficient, concentration frequency, concentration period and matching degree analysis were used to investigate the characteristics of runoff and precipitation at decadal and annual time scales. The correlation and matching degree between runoff from mountainous watershed and precipitation in the source area of Heihe River was discussed. The results show that: a) the runoff from mountainous watershed is mainly concentrated from June to September and the concentration period is from later July to the beginning of August; b) the precipitation data in the source area of Heihe River is mainly concentrated from May to August and the concentration period is midlater July; c) The linear relationship between runoff and precipitation is significant and; d) the matching relationship between annual runoff and annual precipitation is pretty good and the matching degree is expected to decrease with time. [ABSTRACT FROM AUTHOR]

Whether the mine ventilation system is excellent or not is directly related to its ventilation resistance and ventilation power. According to the research on the matching state of mine ventilation power and ventilation resistance, the concept of measuring the matching degree between ventilation power and ventilation resistance is proposed, and the influence of wind pressure and working efficiency of the fan is considered comprehensively. The formula for calculating the matching degree is given. And with reference to the relevant provisions of the mining conditions and the efficiency standards of the economic operation of the wind turbine, the indicators for the evaluation of the matching degree are given. Taking Changping return ventilation shaft of Changping coal mine as an example, the calculation of the matching degree between ventilation power and ventilation resistance of the mine was carried out. It was found that the matching of the ventilation power and ventilation resistance of the well was unreasonable and the matching degree was low. Therefore, the specific measures for the renovation of the ventilation system are given to improve the safe and efficient production of the mine with the matching of ventilation power and ventilation resistance in the Changping ventilation shaft. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Medical Equipment Journal is the property of Chinese Medical Equipment Journal Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to solve space scene similarity measure problem when the space scene contains dif-ferententity numbers, this article uses feature matrix to describe space scene, then it also uses the fea­ture matrix of query scene and database scene to generate scene associated graph and uses the various matching circles of the associated graph lo get space scene collection. After that? based on space scene completeness and similarity measure model for each scene of the scene collection- the matching degree will be calculated. Finally, we can gel the best match scene and the matching results will be analyzed and evaluated. Experimental results show that this method can better measure the similarity space scene which contains differententity numbers. [ABSTRACT FROM AUTHOR]