Time-varying channel estimation in reconfigurable intelligent surface assisted communication system by Kai SHAO, Ben LU, Guangyu WANG

“…Aiming at the key problems need to be solved, such as cascade channel sparse representation, time-varying channel parameter tracking and signal reconstruction, for time-varying cascade channels estimation of reconfigurable intelligent surface (RIS) assisted communication system, a Khatri-Rao and hierarchical Bayesian Kalman filter (KR-HBKF) algorithm was proposed.Firstly, the Khatri-Rao product and Kronecker product transformations were used to obtain the sparse representation of RIS cascaded channels based on the sparse characteristics of channels, thus the RIS cascaded channel estimation problem was transformed into a low-dimensional sparse signal recovery problem.Then, according to the state evolution model of RIS cascaded channel, the time correlation parameter was introduced into the prediction model of HBKF algorithm, and the improved HBKF was applied to solve the problem of time-varying channel parameter tracking and signal reconstruction for completing the time-varying cascaded channels estimation.The sparsity and time correlation of the channel were comprehensively considered in the KR-HBKF algorithm, thus better estimation accuracy could be obtained with small pilot overhead.Compared with the traditional compressed sensing algorithm, the simulation results show that the proposed algorithm has about 5 dB estimated performance improvement, and better robustness performance under different time-varying channel conditions.…”
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SDN-Enabled Communication Network Framework for Energy Internet by Zhaoming Lu, Chunlei Sun, Jinqian Cheng, Yang Li, Yong Li, Xiangming Wen

“…In order to design and construct smart and flexible energy Internet, we proposed a software defined network framework with both microgrid cluster level and global grid level designed by a hierarchical manner, which will bring flexibility, efficiency, and reliability for power grid networks. …”
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Relationship between Soft Skills and Academic Outcomes in Higher Education: Evidence from Undergraduate Management Students by Ashot G. Mirzoyan, Irina P. Suslova, Angelina V. Govorova

“…The analysis uses a multiple regression model, logistic regression, ordinal logistic regression and hierarchical clustering. According to the simulation results, it is shown that the numerical abilities of students are positively associated with grades in 22 subjects. …”
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Optimal dispatch of distributed renewable energy and energy storage systems via optimal configuration of mobile edge computing by He Jiang, Yan Zhao, Hang Zhou

“…An operating framework of distributed power system is presented based on offload strategy of mobile edge computing (MEC) and optimal allocation of computational quantity. Second, a novel hierarchical dispatching model is established based on the optimal configuration of MEC. …”
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Adaptive Failure Identification for Healthcare Risk Analysis and Its Application on E-Healthcare by Kuo-Chung Chu, Lun-Ping Hung

“…In addition, the model also can apply to a generic e-healthcare service environment with a hierarchical architecture.…”
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Fast Spectral Clustering via Efficient Multilayer Anchor Graph by Yiwei Wei, Chao Niu, Dejun Liu, Peinan Ren

“…When constructing the similarity graph, FEMAG takes balanced K-means-based hierarchical K-means (BKHK) to obtain outperforming anchor points efficiently. …”
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Effect of Age, Education, and Bilingualism on Confrontation Naming in Older Illiterate and Low-Educated Populations by Sameer Ashaie, Loraine Obler

“…Participants in our study were illiterate monolinguals (N=18) and educated Kashmiri-Urdu bilinguals (N=30). Hierarchical multiple regression revealed that younger adults performed better than older adults (P<0.01) and the age effect was quadratic (age2). …”
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Tourism planning in the Azores and feedback from visitors by João Crispim Ponte, Gualter Couto, Pedro Pimentel, Áurea Sandra Toledo de Sousa, André Oliveira

“…This study aims to analyse the improvements that, in the opinion of visitors, should be implemented in Ponta Delgada, the largest hub of tourism activity in the Azores (Portugal), detecting differences between specific groups of visitors, in order to contribute to territorial organisation and the optimisation of tourism experiences. 400 answers to a survey distributed among tourists who visited this Azorean municipality were analysed, using several statistical methods, such as the chi-square test of independence and some Hierarchical Cluster Analysis algorithms. The main conclusions refer to the statistically significant associations between the mean of transport used to travel and views of some aspects to be improved, with signs of patterns in visits and critical attitude.…”
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HCBPM: An Idea toward a Social Learning Environment for Humanoid Robot by Fady Alnajjar, Abdul Rahman Hafiz, Kazuyuki Murase

“…This approach was inspired by the principles of neuroscience, and the developed model was named “Hierarchical Constructive Backpropagation with Memory” (HCBPM). …”
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The Effect of Land-Use Intensity on Surface Temperature in the Dongting Lake Area, China by Wenmin Hu, Weijun Zhou, Hongshi He

“…The results revealed the following features: (1) The temperature increased when the land-use intensity increased via a hierarchical transition owing to grass and forest land reductions of 26.25% and 11.74%, respectively; built-up land increased by 48.45%. (2) The temperature increase was driven more by the external environment than by land-use intensity changes. …”
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Honouring Children by Ebenezer Tetteh Kpalam

“…It is argued that views of children that harm them in daily life could be connected with views of God as authoritative, hierarchal, powerful and strong, a God who punishes and disciplines. …”
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Le Collage comme outil exploratoire collectif dans la conception d’espaces publics by Sonia Curnier, Véronique Mauron Layaz

“…Further, as a tool of prefiguration, it allows us to explore the possibilities of an uncertain future.Collage is also a collective tool, created by numerous team members in the agencies, drawing on the non-hierarchical skills of different people (architects, landscape architects, project managers, trainees, draughtsmen) and erasing the notion of authorship. …”
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A Function Area Division Approach for Autonomous Transportation System Based on Text Similarity by Ke Huang, Caiting Chen, Yao Xiao, Ming Cai

“…Precisely, this method quantifies the similarity between functions based on their textual descriptions, and implements hierarchical clustering to delineate them into distinct function areas. …”
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Innovativeness of Enterprises in Poland in the Regional Context by Anna Golejewska

“…As research methods, the author uses selected methods of multdimensional comparatve analysis, principal component analysis and the hierarchical Ward’s method. The results show that there are substantal differences among NUTS3 sub-regions as regards innovatveness of enterprises. …”
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Brasil e suas águas – estudo das toponímias nas redes hidrográficas by Roberto Verdum, Jean Carlo Gessi Caneppele

“…In order to achieve this objective, is was used both length and hierarchical order data. As the final result, it was possible to rank the country's toponymy in five orders of magnitude, in association with its regional historical-cultural specificities, for technical-scientific purposes. …”
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On Approaches to Assessing Contribution of Russian Universities in the Implementation of National Projects by I. V. Arzhanova, M. V. Shiryaev, S. N. Mityakov

“…The authors propose to consider the universities as key performers of strategic decisions at various hierarchical levels. Each of the strategic planning documents includes indicator systems and their target values in dynamics over the years. …”
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Vessel Navigation Behavior Analysis and Multiple-Trajectory Prediction Model Based on AIS Data by He Ma, Yi Zuo, Tieshan Li

“…First, we propose a novel method of trajectory feature representation that uses a hierarchical clustering algorithm to analyze and extract the vessel navigation behavior for multiple trajectories. …”
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Presentation of Coastal Environmental Management Plan by using SWOT/AHP methods by R Sharifipour, B Mahmodi

“…Thereafter, with using of analytic hierarchical process (AHP) method and EC (Expert chose) software have been applied to prioritize the strategies. …”
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Lightweight anomaly detection model for UAV networks based on memory-enhanced autoencoders by HU Tianzhu, SHEN Yulong, REN Baoquan, HE Ji, LIU Chengliang, LI Hongjun

“…The composite statistical characteristics of the data flow were calculated based on the damped window model, and the memory complexity in the calculation process was reduced in an incremental update manner. The hierarchical clustering algorithm was used to divide the composite statistical features, and the separated features were input to multiple small memory-enhanced autoencoders in the integrated architecture for independent training, which reduced the computational complexity and solved the problem of false negatives caused by the overfitting of the reconstruction effect of the traditional autoencoder. …”
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Self-isolation of adolescents after Covid-19 pandemic between social withdrawal and Hikikomori risk in Italy by Loredana Cerbara, Giulia Ciancimino, Gianni Corsetti, Antonio Tintori

“…Using Multiple Correspondence Analysis (MCA) and Hierarchical Cluster Analysis (HCA), three distinct profiles of social withdrawal were identified among adolescents: “Social Butterflies”, “Friendship-Centric”, and “Lone Wolves”. …”
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