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2022 ◽  
Vol 11 (1) ◽  
pp. 62
Author(s):  
Zhenkai Yang ◽  
Yixin Hua ◽  
Yibing Cao ◽  
Xinke Zhao ◽  
Minjie Chen

As a new product of the Internet and big data era, migration data are of great significance for the revealing of the complex dynamic network patterns of urban agglomerations and for studying the relations between cities by using the “space of flows” model. Based on Baidu migration data of one week in 2021, this paper constructs a 30 × 30 rational data matrix for cities in Zhongyuan Urban Agglomeration and depicts the network pattern from static and dynamic perspectives by using social network analysis and dynamic network visualization. The results show that the network of Zhongyuan Urban Agglomeration is characterized by a circular structure with Zhengzhou as the center, a city belt around Zhengzhou as the connection, subcentral cities as the support and peripheral cities as the extension. Zhengzhou is the core city of the entire network, related to which the central and backbone networks divided in this paper account for nearly 40% of the total migration. Shangqiu, Luoyang, Zhoukou and Handan also play an important role in the structure of the migration network as subcentral cities. For a single city, the migration scale generally peaks on weekends and reaches its minimum during Tuesday to Thursday. Regarding the relations between cities, the migration variation can be divided into four types: peaking on Monday, peaking on weekends, bimodal and stable, and there are obvious phenomena of weekly commuting. In general, the links between cities outside Henan Province and other cities in the urban agglomeration are relatively weak, and the constraints of administrative regionalization on intercity migration are presumed to still exist. According to the results, the location advantage for multi-layer development and construction of Zhongyuan Urban Agglomeration should be made use of. In addition, the status as the core city and the radiation range should be strengthened, and the connections between the peripheral cities and the other cities should be improved, so as to promote the integrated and efficient development of the whole urban agglomeration.


2022 ◽  
Vol 14 (2) ◽  
pp. 248
Author(s):  
Stefano Barbieri ◽  
Saverio Di Fabio ◽  
Raffaele Lidori ◽  
Francesco L. Rossi ◽  
Frank S. Marzano ◽  
...  

Meteorological radar networks are suited to remotely provide atmospheric precipitation retrieval over a wide geographic area for severe weather monitoring and near-real-time nowcasting. However, blockage due to buildings, hills, and mountains can hamper the potential of an operational weather radar system. The Abruzzo region in central Italy’s Apennines, whose hydro-geological risks are further enhanced by its complex orography, is monitored by a heterogeneous system of three microwave radars at the C and X bands with different features. This work shows a systematic intercomparison of operational radar mosaicking methods, based on bi-dimensional rainfall products and dealing with both C and X bands as well as single- and dual-polarization systems. The considered mosaicking methods can take into account spatial radar-gauge adjustment as well as different spatial combination approaches. A data set of 16 precipitation events during the years 2018–2020 in the central Apennines is collected (with a total number of 32,750 samples) to show the potentials and limitations of the considered operational mosaicking approaches, using a geospatially-interpolated dense network of regional rain gauges as a benchmark. Results show that the radar-network pattern mosaicking, based on the anisotropic radar-gauge adjustment and spatial averaging of composite data, is better than the conventional maximum-value merging approach. The overall analysis confirms that heterogeneous weather radar mosaicking can overcome the issues of single-frequency fixed radars in mountainous areas, guaranteeing a better spatial coverage and a more uniform rainfall estimation accuracy over the area of interest.


2021 ◽  
Vol 14 (1) ◽  
pp. 297
Author(s):  
Ren-Jie Zhang ◽  
Hsing-Wei Tai ◽  
Kuo-Tai Cheng ◽  
Zheng-Xu Cao ◽  
Hui-Zhong Dong ◽  
...  

This study puts forward a logical framework for green innovation network analysis, which includes a spatial dimension, a relational dimension, and a systems dimension. Here, we put forward some basic research ideas concerning the optimization and regulation of green innovation networks in terms of the systems dimension and we investigate the micro-dynamic mechanisms of green innovation network expansion using a spatial econometric model. Our main research results are as follows: The efficiency of green innovation in the Yangtze River Economic Belt has improved significantly, however, the gap between cities has gradually increased, and a problem of efficiency regression has emerged. The green innovation network has changed from the primary stage dominated by Edge Network to the rapid growth stage dominated by Supporting Network, and formed a complex network pattern with diversified hierarchical structure. Node symmetry is helpful in forming more extroverted connections and promoting the expansion of green innovation networks. Node proximity and connection symmetry inhibit the growth and development of networks, and knowledge flow cooperation networks can accelerate the evolution of green innovation networks. Finally, this paper holds that we should combine the actual development needs, emphasize the basic principles of differentiated development, and construct the development pattern of regional collaborative innovation. This can also provide a theoretical reference for enriching our understanding of green innovation networks while narrowing the gap between cities.


2021 ◽  
Vol 14 (1) ◽  
pp. 245
Author(s):  
Jian Duan ◽  
Changle Nie ◽  
Yingying Wang ◽  
Dan Yan ◽  
Weiwei Xiong

Trading systems are essential in promoting global food security. With the growing proportion of global food consumption obtained through international trade, the global food trade pattern has become increasingly complex over recent years. This study constructed a weighted global grain network using the trade data of 196 countries in 2000 and 2018 to explore the structure and evolution based on the complex network theory. We established that the global grain network was scale-free. There was significant heterogeneity among nodes, and the heterogeneity of the out-degree was greater than that of the in-degree. The global grain network has a significant core-periphery structure, with the United States, Japan, Mexico, Egypt, South Korea, and Colombia as the core countries. Thereafter, by applying the quadratic assignment procedure model to explore the driving factors of the global grain network, we established that geographical distance had a positive impact on the food trade patterns in 2000 and 2018. This differs from the classical gravity model theory. Furthermore, grain trade had significant “boundary effects”; economic gaps, resource endowment, and regional free trade agreements had a positive impact on the evolution of the grain trade network, whereas cultural similarity and political differences had a negative impact on the grain trade network pattern.


2021 ◽  
Vol 1 (01) ◽  
pp. 50-62
Author(s):  
Didid Haryadi

The Covid-19 pandemic has changed the pattern of interaction and socialization of community members. One of them is an effort to build awareness and social solidarity to help each other, especially in the dimension of domestic needs, such as food fulfillment. The Jogja Food Solidarity Movement (Solidaritas Pangan Jogja/SPJ) represents a collective action that grew because of the awareness of individuals and groups to distribute food aid to informal workers and marginalized groups in Yogyakarta. This paper examines two main points; first, how SPJ manages its social network pattern during the Covid-19 pandemic. Second, why the SPJ movement is autonomous. Using a qualitative approach and case study method, this paper finds that the SPJ movement maximizes social capital through networks and social support from non-governmental institutions, activist groups, artists, students, and the Kulon Progo Coastal Farmers Association (Paguyuban Petani Lahan Pantai/PPLP) to distribute food. to the public. The SPJ movement is formed organically, autonomously and rationally, which is a manifestation of systematically organized collective action. Through the analysis of the Resource Mobilization Theory (Teori Mobilisasi Sumber Daya/TMSD), the SPJ movement is needed to create and show collective dissatisfaction, especially during the Covid-19 pandemic, namely without which dissatisfaction is only at the individual level.


2021 ◽  
pp. 1-10
Author(s):  
Wei Zhou ◽  
Xing Jiang ◽  
Bingli Guo (Member, IEEE) ◽  
Lingyu Meng

Currently, Quality-of-Service (QoS)-aware routing is one of the crucial challenges in Software Defined Network (SDN). The QoS performances, e.g. latency, packet loss ratio and throughput, must be optimized to improve the performance of network. Traditional static routing algorithms based on Open Shortest Path First (OSPF) could not adapt to traffic fluctuation, which may cause severe network congestion and service degradation. Central intelligence of SDN controller and recent breakthroughs of Deep Reinforcement Learning (DRL) pose a promising solution to tackle this challenge. Thus, we propose an on-policy DRL mechanism, namely the PPO-based (Proximal Policy Optimization) QoS-aware Routing Optimization Mechanism (PQROM), to achieve a general and re-customizable routing optimization. PQROM can dynamically update the routing calculation by adjusting the reward function according to different optimization objectives, and it is independent of any specific network pattern. Additionally, as a black-box one-step optimization, PQROM is qualified for both continuous and discrete action space with high-dimensional input and output. The OMNeT ++ simulation experiment results show that PQROM not only has good convergence, but also has better stability compared with OSPF, less training time and simpler hyper-parameters adjustment than Deep Deterministic Policy Gradient (DDPG) and less hardware consumption than Asynchronous Advantage Actor-Critic (A3C).


2021 ◽  
Vol 74 ◽  
pp. 102353
Author(s):  
Liuguo Shao ◽  
Jianying Hu ◽  
Hua Zhang

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7588
Author(s):  
Huigang Chang ◽  
Nianwen Ning

Connected autonomous vehicles can leverage communication and artificial intelligence technologies to effectively overcome the perceived limitations of individuals and enhance driving safety and stability. However, due to the high dynamics of the vehicular network and frequent interruptions and handovers, it is still challenging to provide stable communication connections between vehicles, which is likely to cause disasters. To address this issue, in this paper, we propose an intelligent clustering mechanism based on driving patterns in heterogeneous Cognitive Internet of Vehicles (CIoVs). In the proposed approach, we analyze the driving mode containing multiple feature parameters to accurately capture the driving characteristics. To ensure the accuracy of pattern recognition, a genetic algorithm-based neural network pattern recognition algorithm is proposed to support the reliable clustering of connected autonomous vehicles. The cognitive engines recognize the driving modes to group vehicles with a similar driving mode into a relatively stable cluster. In addition, we formulate the stability and survival time of clusters and analyze the communication performance of the clustering mechanism. Simulation results show that the proposed mechanism improves the reliable communication throughput and average cluster lifetime by approximately 14.4% and 11.5% respectively compared to the state-of-the-art approaches.


2021 ◽  
Vol 18 (2) ◽  
pp. 253
Author(s):  
Eppy Yuliani ◽  
Mila Karmilah ◽  
M. Agung Ridlo

ABSTRACTThe development of the center of the city of Semarang is very rapid, leading to the outskirts. The outskirts, which were originally used as agricultural areas, have now been converted into built-up areas, settlements, trade and services. This research was conducted in Tembalang Village, which is an educational area, new settlements accompanied by the growth of economic activity. The purpose of this study is to find patterns of economic space in suburban urban areas. Methodology Descriptive analysis research using a qualitative and rationalistic deductive approach that focuses on the environmental approach (behavior approach) and the spatial economic approach. From the results of the analysis, it is concluded that Tembalang Village has an Economic Spatial Pattern that develops along the main road. Economic activities that follow this main road route form a network pattern. This pattern of economic space is also still visible in the surrounding area. The pattern of economic space that develops on the main road corridor has a high selling value of land. Every year there is an increase in land prices, both according to NJOP, land rental prices and land selling prices.Keywords: pattern, space, economy, activity, suburbs, urban. ABSTRAKPerkembangan pusat Kota Semarang yang sangat pesat, mengarah pada kawasan pinggiran. Kawasan pinggiran yang awalnya sebagai  fungsi kawasan  pertanian, banyak beralih fungsi menjadi kawasan terbangun, pemrmukiman, perdagangan dan jasa. Penelitian ini dilakukan di Kelurahan Tembalang, yang merupakan kawasan pendidikan, permukiman baru disertai dengan pertumbuhan aktivitas ekonomi. Tujuan penelitian ini menemukan pola ruang ekonomi pada kawasan pinggiran perkotaan. Metodologi Penelitian analisis deskriptif dengan menggunakan pendekatan deduktif Kualitatif Rasionalistik yang berfokus pada pendekatan lingkungan (behaviour approach) dan pendekatan ekonomi keruangan (spatial economic approach). Dari hasil analisis disimpulkan Kelurahan Tembalang memiliki Pola Ruang Ekonomi yang berkembang di sepanjang jalan utama. Kegiatan perekonomian yang mengikuti jalur jalan utama ini mementuk pola jaringan. Pola ruang ekonomi ini juga masih terlihat pada kawasan sekitarnya. Pola ruang ekonomi yang berkembang pada koridor  jalan utama, memiliki nilai jual lahan yang tinggi. Semakin tahun mengalami kenaikan harga lahan baik menurut NJOP, harga sewa lahan maupun harga jual lahan.Kata kunci : pola,ruang, ekonomi, aktivitas, pinggiran, perkotaan.


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