Forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning by Zongxuan SHA, Ru HUO, Chuang SUN, Shuo WANG, Tao HUANG

“…The software defined network separates the control plane from the data plane to achieve flexible traffic scheduling, which can use network resources more efficiently.However, with the increase of the number of flow entries, load rate, the number of connected hosts, and other factors, the forwarding efficiency of the SDN switch will be reduced, which will affect the end-to-end transmission delay.To solve the above problems, the forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning was proposed.First, the switch state was integrated into the perception model, and the mapping relationship between switch state information and forwarding efficiency was established based on neural network.Then, combined with network state and traffic information, traffic scheduling policy was generated through deep reinforcement learning.Finally, the expert samples generated by the shortest path and load balance algorithms could guide the model training, which enabled the model to learn knowledge from expert samples to improve performance and accelerated the training process.The experimental results show that the proposed algorithm not only reduces the average end-to-end transmission delay by 15.31%, but also ensures the overall load balance of the network, compared with other algorithms.…”
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THE PRIVATIZATION AND FINANCIALIZATION OF URBAN SPACE: THE SEARCH FOR CENTRALITY AND NEW FORMS OF MARGINALITY IN THE TRANSFORMATION OF MILAN’S PIRELLI-BICOCCA AREA by Luca Ruggiero

“…The article shows how this process is inextricably caught up with the radical redefinition of the social dimension of the urban spaces once hosting this industrial production and, at the same time, the relative failure to effectively integrate renewal projects into the larger urban fabric conceptualized as physical and social space. …”
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Forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning by Zongxuan SHA, Ru HUO, Chuang SUN, Shuo WANG, Tao HUANG

“…The software defined network separates the control plane from the data plane to achieve flexible traffic scheduling, which can use network resources more efficiently.However, with the increase of the number of flow entries, load rate, the number of connected hosts, and other factors, the forwarding efficiency of the SDN switch will be reduced, which will affect the end-to-end transmission delay.To solve the above problems, the forwarding efficiency aware traffic scheduling algorithm based on deep reinforcement learning was proposed.First, the switch state was integrated into the perception model, and the mapping relationship between switch state information and forwarding efficiency was established based on neural network.Then, combined with network state and traffic information, traffic scheduling policy was generated through deep reinforcement learning.Finally, the expert samples generated by the shortest path and load balance algorithms could guide the model training, which enabled the model to learn knowledge from expert samples to improve performance and accelerated the training process.The experimental results show that the proposed algorithm not only reduces the average end-to-end transmission delay by 15.31%, but also ensures the overall load balance of the network, compared with other algorithms.…”
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The Widening, Deepening, and Lengthening of the Seven Mountains Mandate (7MM) Network: The Role of Network Apostolic Leadership by Fernando Mora-Ciangherotti

“…A new classification of apostolic networks is proposed in this article and a partial map of some of the networks that participated in the expansion of the 7MM is presented. …”
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A unified framework for post-disaster hazard and structural assessment data collection across hazards and infrastructure typologies by Mohammad S. Alam, Tracy Kijewski-Correa, David B. Roueche, Khalid M. Mosalam, David O. Prevatt, Ian Robertson

“…In the mapping process, care was taken to retain the overarching damage level definitions (e.g., slight, moderate, severe damage) while customizing the specific descriptors to reflect hazard-specific damage mechanisms. …”
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Topology identification and parameters estimation of LV distribution networks using open GIS data by Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara

“…The proposed approach exploits the fact that underground cables usually follow the street pattern, thus relying on open street map (OSM) and smart meter (SM) data. Three stages compose the proposed approach: In the first stage, a hierarchical minimum spanning tree algorithm is proposed to generate the initial topology with an accurate number of sub-branches from the pre-processed OSM data and peak demand. …”
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HIV-1 Integrates Widely throughout the Genome of the Human Blood Fluke Schistosoma mansoni. by Sutas Suttiprapa, Gabriel Rinaldi, Isheng J Tsai, Victoria H Mann, Larisa Dubrovsky, Hong-Bin Yan, Nancy Holroyd, Thomas Huckvale, Caroline Durrant, Anna V Protasio, Tatiana Pushkarsky, Sergey Iordanskiy, Matthew Berriman, Michael I Bukrinsky, Paul J Brindley

“…Accomplishment in schistosomes of post-entry processes essential for HIV-1replication, including integrase-catalyzed integration, was remarkable given the phylogenetic distance between schistosomes and primates, the natural hosts of the genus Lentivirus. …”
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Geophysical investigation for mineral prospect in Igbeti-Moro area, Southwestern Nigeria by Nurudeen Kolawole Olasunkanmi, Lukman A. Sunmonu, Moruffdeen A. Adabanija

“… To establish significant geologic features associated with the marble, gabbro and muscovite mineralization in Igbeti-Moro area, within southwestern Nigeria, the high-resolution aeromagnetic data were subjected to data enhancement processes and interpretation. The reduced-to-magnetic equator (RTE) anomaly map was subjected to various normalized (vertical, tilt and total horizontal) derivatives for lineament enhancement, edge detection of analytic signal (AS) amplitude and depth estimation techniques of source parameter imaging (SPI), average power spectrum and magnetic source depths were estimated using the source parameter imaging averaged power spectrum and Euler deconvolution at different spectral indices. …”
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Across Borders and Art Histories: Travelling Exhibitions by Gabriela Świtek

“… The concept of art geography is undergoing a process of revision in light of recent research on exhibition histories. …”
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Mineral resource base of Russia’s cobalt: current state and development prospects by G. Yu. Boyarko, L. M. Bolsunovskaya

“…Key characteristics are provided for the main ore formations hosting cobalt deposits in Russia, as well as for cobalt-bearing provinces and deposits outside these provinces. …”
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Alteration, mineralization, geochemistry and fluid inclusion investigations in Joftrud prospect area, southwest of Birjand by Omid Shareipour, Azadeh Malekzadeh Shafaroudi, Maryam Javidi Moghaddam

“…In the ore-veins, quartz-hosted LV inclusions have homogenization temperatures (Th) between 270˚–408˚C for stage-1 and 265 °–385˚C for stage-2. …”
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