Results 1 to 10 of about 465,880 (118)

Flow-Data-Based Global Spatial Autocorrelation Measurements for Evaluating Spatial Interactions

ISPRS International Journal of Geo-Information, 2023
Spatial autocorrelation analysis is essential for understanding the distribution patterns of spatial flow data. Existing methods focus mainly on the origins and destinations of flow units and the relationships between them.
Shuai Sun, Haiping Zhang
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Numerical study of flow irregularity in a new type control section of steam turbine high-pressure module [PDF]

Journal of Mechanical Engineering, 2020
In order to improve the flow part of the control system and enhance energy performance, A. Podgorny Institute of Mechanical Engineering Problems NAS of Ukraine has developed a three-stage control system section of the K-325-23.5 steam turbine high ...
Yurii A. Bykov, Andrii V. Rusanov, Viktor L. Shvetsov   +2 more
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Analyzing the Pattern of Spatial Interactions of Nomads with Emphasis on the Flow of People (Case study: Babadi Ecosystem of Bab Bakhtiari Tribe) [PDF]

برنامه ریزی فضایی, 2022
Statement of the Problem: Interactions and spatial flows are within and outside the territory among different life patterns (between cities, villages, and nomadic spatial actors) at the level of geographical areas, including nomadic ecosystems.
Vahid Riahi, Farzad Mahmoudiyan, Farhad Azizpour   +2 more
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Quantifying the spatial flow of soil conservation service to optimize land-use pattern under ecological protection scenarios

Frontiers in Earth Science, 2022
Land use pattern optimization is an effective approach for sustaining soil conservation service (SCS) under the influence of climate change and anthropogenic activities across the Loess Plateau of China.
Yudan Wang, Xianfeng Liu, Jing Li, Yida Wang, Jizhou Bai, Zixiang Zhou   +5 more
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The Efficiency Increase of the Steam Turbine Low Pressure Cylinder Last Stage by the Blades Spatial Profiling [PDF]

Journal of Mechanical Engineering, 2020
The paper presents an option of the steam condensing turbine K-325-23.5 (K-300 series) low pressure cylinder flow part improvement due to the last stage modernization.
Andrii V. Rusanov, Viktor L. Shvetsov, Svitlana V. Alyokhina, Natalia V. Pashchenko, Roman A. Rusanov, Mykhailo H. Ishchenko, Liubov O. Slaston, Riza B. Sherfedinov   +7 more
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Development of the Flow Part of Reactive Type HPC of K-325-23.5 Series Steam Turbine Based on the Use of Modern Computer Technologies

Journal of Mechanical Engineering, 2021
The results of gas-dynamic design of a new flow part of a reactive type high-pressure cylinder (HPC) of the K-300 series condensing steam turbine are presented.
Andrii V. Rusanov, Viktor H. Subotin, Viktor L. Shvetsov, Roman A. Rusanov, Serhii A. Palkov, Ihor A. Palkov, Maryna O. Chuhai   +6 more
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Link Ecological and Social Composite Systems to Construct Sustainable Landscape Patterns: A New Framework Based on Ecosystem Service Flows

Remote Sensing, 2022
Integrating the flow of supply and demand of ecosystem services (ESs) into the ecological security pattern (ESP) of coastal ecosystems with extremely fragile ecological backgrounds and contradictory human–land relationships is beneficial to the ...
Shixi Cui, Zenglin Han, Xiaolu Yan, Xiuzhen Li, Wenzhen Zhao, Chenghao Liu, Xinyuan Li, Jingqiu Zhong   +7 more
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The Gas-Dynamic Efficiency Increase of the K-300 Series Steam Turbine Control Compartment [PDF]

Journal of Mechanical Engineering, 2020
The paper proposes ways to increase the efficiency of nozzle control for steam power turbines of the K-300 series, that, along with the K-200 series turbines, form the basis of thermal energy in Ukraine.
Andrii V. Rusanov, Viktor L. Shvetsov, Anna I. Kosianova, Yurii A. Bykov, Natalia V. Pashchenko, Maryna O. Chuhai, Roman A. Rusanov   +6 more
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Geographically Weighted Flow Cross K-Function for Network-Constrained Flow Data

Applied Sciences, 2022
Network-constrained spatial flows are usually used to describe movements between two spatial places on a road network. The analysis of the spatial associations between different types of network-constrained spatial flows plays a key role in understanding
Weijie Zhang, Jun Zhao, Wenkai Liu, Zhangzhi Tan, Hanfa Xing   +4 more
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Network Correlation Characteristics and Influencing Factors of High-Level Talent Flow: Observation of the High-Level Talent in the Yangtze River Delta

Redai dili, 2023
In the era of knowledge economy, acquiring top talent has become the key to competitiveness for urban and regional areas. As the representatives of top talent, CAS(Chinese Academy of Sciences) and CAE (Chinese Academy of Engineering), Yangtze River ...
Wang Xiumei, Huang Chunxiao, Xu Hongfu, Yang Zhiqiang   +3 more
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