Relevant bibliographies by topics / Temporary Network Structure

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Academic literature on the topic 'Temporary Network Structure'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "Temporary Network Structure"

1

Zhou, Qiang, Shi-Min Cai, and Yi-Cheng Zhang. "Multiscale community estimation based on temporary local balancing strategy." International Journal of Modern Physics C 31, no. 04 (2020): 2050056. http://dx.doi.org/10.1142/s0129183120500564.

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Community division in complex networks has become one of the hot topics in the field of network science. Most of the methods developed based on network topology ignore the dynamic characteristics underlying the structure. By exploring the diffusion process in the network based on random walk, this paper sums up the general rule with temporal characteristics as a temporary local balancing strategy which can be used in the community division. The strategy divides the network into different communities according to the duration of a stable local balancing state in the diffusion process. The longer the duration, the more stable the structure of the community in that state. Applying the strategy to computer-generated and real-world networks, respectively, it is proved that these temporary local balancing states existing in the diffusion process can reveal the internal community structure of the network. In addition, the modular structure appears at different time scales of diffusion process, similar to the hierarchical organization, and also provides a new perspective for multiscale network community detection.
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2

Song, Kyungwoo, Mingi Ji, Sungrae Park, and Il-Chul Moon. "Hierarchical Context Enabled Recurrent Neural Network for Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 4983–91. http://dx.doi.org/10.1609/aaai.v33i01.33014983.

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A long user history inevitably reflects the transitions of personal interests over time. The analyses on the user history require the robust sequential model to anticipate the transitions and the decays of user interests. The user history is often modeled by various RNN structures, but the RNN structures in the recommendation system still suffer from the long-term dependency and the interest drifts. To resolve these challenges, we suggest HCRNN with three hierarchical contexts of the global, the local, and the temporary interests. This structure is designed to withhold the global long-term interest of users, to reflect the local sub-sequence interests, and to attend the temporary interests of each transition. Besides, we propose a hierarchical context-based gate structure to incorporate our interest drift assumption. As we suggest a new RNN structure, we support HCRNN with a complementary bi-channel attention structure to utilize hierarchical context. We experimented the suggested structure on the sequential recommendation tasks with CiteULike, MovieLens, and LastFM, and our model showed the best performances in the sequential recommendations.
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3

Xin, Lai, Zhao De Cun, Huang Long Yang, and Wu D. Ti. "Hybrid Air Route Network Simulation Based on Improved RW-Bucket Algorithm." International Journal of Information Technologies and Systems Approach 15, no. 1 (2022): 1–19. http://dx.doi.org/10.4018/ijitsa.304808.

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The fixed-route network is the basis for airlines to carry out flight direction planning. Some countries and regions have introduced temporary routes as a supplement to the fixed route structure. Temporary routes have the advantages of intercepting curves and straightening, and less detouring areas, which can save airlines fuel consumption and improve operational efficiency. This article takes the mixed airline's route network as the research object. Firstly, the structural properties of mixed air route networks are analyzed by using complex network theory. Secondly, the RW-bucket algorithm to generate a mixed air route network structure is analyzed. According to the conclusion of the analysis, the RW-bucket algorithm is improved. Finally two flight information region route network data are used to verify the proposed hybrid route network construction method by computer simulation.
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4

Zhang, Wenbo, Jing Wang, Guangjie Han, Xinyue Zhang, and Yongxin Feng. "A Cluster Sleep-Wake Scheduling Algorithm Based on 3D Topology Control in Underwater Sensor Networks." Sensors 19, no. 1 (2019): 156. http://dx.doi.org/10.3390/s19010156.

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3D topology control in underwater sensor networks is of great significance to ensuring reliable and efficient operation of the network. In this paper, by analyzing the characteristics of an underwater sensor network, we take the cube as the basic unit to perform 3D partition of the monitoring area, define the 3D partition unit and basic cluster structure of the underwater sensor network, and arrange rotating temporary control nodes in the cluster. Then, a cluster sleep-wake scheduling algorithm is proposed that compares the remaining node energy. It selects the node with the largest remaining energy as the working node, and the remaining nodes complete the transition of dormancy and waiting states as long as they reach the preset dormancy time. The node state settings of this phase are completed by the temporary control node. Temporary control nodes selecting and sleep-wake scheduling are used in the algorithm through 3D topology control, which reduces energy consumption and guarantees maximum sensing coverage of the entire network and the connection rate of active nodes. Simulation results further verify the effectiveness of the proposed algorithm.
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Ngoc, Quang Tran, Seunghyun Lee, and Byung Cheol Song. "Facial Landmark-Based Emotion Recognition via Directed Graph Neural Network." Electronics 9, no. 5 (2020): 764. http://dx.doi.org/10.3390/electronics9050764.

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Facial emotion recognition (FER) has been an active research topic in the past several years. One of difficulties in FER is the effective capture of geometrical and temporary information from landmarks. In this paper, we propose a graph convolution neural network that utilizes landmark features for FER, which we called a directed graph neural network (DGNN). Nodes in the graph structure were defined by landmarks, and edges in the directed graph were built by the Delaunay method. By using graph neural networks, we could capture emotional information through faces’ inherent properties, like geometrical and temporary information. Also, in order to prevent the vanishing gradient problem, we further utilized a stable form of a temporal block in the graph framework. Our experimental results proved the effectiveness of the proposed method for datasets such as CK+ (96.02%), MMI (69.4%), and AFEW (32.64%). Also, a fusion network using image information as well as landmarks, is presented and investigated for the CK+ (98.47% performance) and AFEW (50.65% performance) datasets.
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6

Vitomsky, E. V., and D. N. Somov. "Methods for protecting local wireless network aimed at providing temporary silency of signals and information interaction structure." Issues of radio electronics, no. 3 (April 26, 2020): 35–40. http://dx.doi.org/10.21778/2218-5453-2020-3-35-40.

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This work is devoted to the security problem of wireless local area networks. It is known that against a number of typical attacks, the most common IEEE802.11 networks are poorly protected. Existing ways of solving this problem with the help of regular wireless device software are not effective enough, and against some attacks, it is even not possible. One of the reasons, which complicates the solution of this problem, is low level of temporal and spatial security of modern wireless network. Based on the analysis of common attacks on Wi-Fi networks, original protection methods have been developed to consider this aspect. These methods were embodied in a real device. Protection methods are implemented by slightly modifying the standard software of the device having an open hardware platform. An experiment was carried out using this device, which confirmed the possibility of deploying a local wireless network which security was enhanced using the methods proposed in this paper.
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7

Cheng, Le Feng, Lin Fei Yin, Jing Jiang, and Tao Yu. "Temporary Grounding Lines Detection Method for Distribution Network and its EMTDC Simulation." Advanced Materials Research 971-973 (June 2014): 1361–67. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1361.

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In order to solve the safety problem of disassembling the grounding wire temporarily for line maintenance and prevent an anthropogenic short-circuit accident from happening, this paper firstly proposes two safe and convenient detection methods based on directly signal injecting and induced voltage. Then, adopt the power system simulation software PSCAD/EMTDC to build model, some important factors affecting the effect of detecting are studied, which include frequency of signal, no-load transformer, magnetic induced voltage, joint use on the same tower, etc. Finally, a temporary ground wire detection device is developed which is based on the detection methods proposed and also based on modern power electronics technology and signal processing technology, and the field test verify the feasibility and practicability. The developed detection device has some advantages, such as safe-testing, simple structure and operation, easy promotion and so on.
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8

Obermann, Anne, Irene Molinari, Jean-Philippe Métaxian, Francesco Grigoli, Wilfried Strauch, and Stefan Wiemer. "Structure of Masaya and Momotombo volcano, Nicaragua, investigated with a temporary seismic network." Journal of Volcanology and Geothermal Research 379 (July 2019): 1–11. http://dx.doi.org/10.1016/j.jvolgeores.2019.04.013.

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9

Cho, Kwang Soo, Jae Woo Kim, Jung-Eun Bae, Ji Ho Youk, Hyun Jeong Jeon, and Ki-Won Song. "Effect of temporary network structure on linear and nonlinear viscoelasticity of polymer solutions." Korea-Australia Rheology Journal 27, no. 2 (2015): 151–61. http://dx.doi.org/10.1007/s13367-015-0015-y.

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10

Goev, Andrey, Sergey Volosov, Irina Sanina, Nataliya Konstantinovskaya, and Margarita Nesterkina. "Registration opportunities of the temporary seismological network of IDG RAS on EEC." Russian Journal of Seismology 2, no. 2 (2020): 84–90. http://dx.doi.org/10.35540/2686-7907.2020.2.08.

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In 2017, as a part of the study of the deep structure of the central part of the East European craton (EEC), three temporary seismic observation points were installed. They were equipped with broadband three-component sensors. The position of the stations is due to the need to build a seismic section in the sub-latitudinal direction in order to study the collision zone of the triple junction of mega blocks in the central part of the EEC. Together with the small-aperture seismic array "Mikhnevo" (MHVAR), temporary seismic stations form an area observation system with distances between stations of the order of 100 km. In 2018, the stations of the temporary network of the IDG RAS had registered 765 events of various nature: 222 industrial explosions and 543 earthquakes. During the year, the "Mikhnevo" array records about 5000 events, of which about 1000 are earthquakes at teleseismic and regional distances, and about 900 are identified as industrial explosions. Mutual processing of observed data on the temporary network and on the "Mikhnevo" in some cases (17%) made it possible to specify the results of the location of industrial explosions obtained previously at the "Mikhnevo" over 10 km.
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