Channel estimation method of massive MIMO-OFDM system based on adaptive compressed sensing by Yiyang HU, Lina QI

“…Massive multiple-input multiple-output (MIMO) is a solution for efficiently providing connection services for a variety of machine equipment in the Internet of things (IoT), and efficient connection services require accurate channel estimation.Aimed at the problems of high pilot overhead and poor performance of normalized mean square error (NMSE) estimation in downlink channel estimation of massive MIMO systems, based on the compressed sensing (CS) theory, the common sparsity of the channel space domain was combined while using the feature of lower sparsity of adjacent time slot differential channel impulse response (CIR), which leaded to a significant reduction in pilot overhead.In the reconstruction algorithm, a two-stage differential estimation algorithm, which divided the channel estimation in consecutive time slots with time correlation into two stages, was proposed and the idea of adaptive compressed sensing was combined to achieve fast and accurate CIR estimate.The simulation results show that the proposed two-stage differential channel estimation algorithm not only has a significant improvement in the estimated NMSE performance and data transmission rate compared to the existing CS-based multiple measurement vector (MMV) algorithm, but also show a certain reduction in runtime complexity.…”
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The Impact of Climate Change on Agricultural Productivity and Economic Stability in Rural Zimbabwe by Shingirai Stanley Mugambiwa, Frank Selelo Rapholo

“…These climatic variations have resulted in lower output in agricultural activities, economic crisis, and increasing instances of hunger and poor nutrition amongst households and the economy. …”
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Mexique : le défi esthétique de la disparition forcée by Jean-Louis Déotte

“…Un vaste mouvement de protestation secoue le pays, des édifices publics sont attaqués, les parents réclamant, comme en Argentine les Mères de la Place de Mai, « la réapparition en vie de leurs enfants »1. Or comme partout ailleurs, la photographie des disparus devient une arme de combat puisque c’est la seule preuve qu’ils ont été. …”
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Environmental economics – a modern science with traditions by Violetta Korporowicz

“…It forces us to look at economic processes with consideration of output of such disciplines that indicate how one should manage in a situation of reduced availability of natural resources. …”
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Faults Detection Using Sliding Mode Observer and Its Application on Elevating Servo Systems by Lingfei Tian, Linfang Qian, Miao Li, Jiawei Fu

“…In practice, model uncertainty, nonlinearities, unknown disturbance, and output noise present enormous challenges to conduct fault detection of the system. …”
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Implicit Pilots for an Efficient Channel Estimation in Simplified Massive MIMO Schemes with Precoding by Mário Marques da Silva, Rui Dinis, João Guerreiro

“…This paper proposes a new channel estimation scheme based on implicit pilots, optimized for a simplified massive multiple input, multiple output (MIMO), implemented with precoding, combined with Single-Carrier with Frequency-Domain Equalization (SC-FDE) modulations. …”
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Approach of detecting low-rate DoS attack based on combined features by Zhi-jun WU, Jing-an ZHANG, Meng YUE, Cai-feng ZHANG

“…LDoS (low-rate denial of service) attack is a kind of RoQ (reduction of quality) attack which has the characteristics of low average rate and strong concealment.These characteristics pose great threats to the security of cloud computing platform and big data center.Based on network traffic analysis,three intrinsic characteristics of LDoS attack flow were extracted to be a set of input to BP neural network,which is a classifier for LDoS attack detection.Hence,an approach of detecting LDoS attacks was proposed based on novel combined feature value.The proposed approach can speedily and accurately model the LDoS attack flows by the efficient self-organizing learning process of BP neural network,in which a proper decision-making indicator is set to detect LDoS attack in accuracy at the end of output.The proposed detection approach was tested in NS2 platform and verified in test-bed network environment by using the Linux TCP-kernel source code,which is a widely accepted LDoS attack generation tool.The detection probability derived from hypothesis testing is 96.68%.Compared with available researches,analysis results show that the performance of combined features detection is better than that of single feature,and has high computational efficiency.…”
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System Level Evaluation of Innovative Coded MIMO-OFDM Systems for Broadcasting Digital TV by Y. Nasser, J.-F. Hélard, M. Crussière

“…Eventually, we propose to adapt a technique called effective exponential signal-to-noise ratio (SNR) mapping (EESM) to predict the bit error rate (BER) at the output of the channel decoder in the MIMO systems. …”
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Is Per Capita Real GDP Stationary in G-7 Countries? New Evidence from A Fourier Panel Unit Root Test by Tunahan Hacıimamoğlu

“…In this context, it has been determined that the impact of a shock on per capita real GDP is temporary in G-7 countries, therefore, by means of monetary or fiscal policy instruments, it is not necessary to intervene in fluctuations occurring the output level.…”
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Investigation of the status and the prospect of fuel pellet production and utilisation toward net zero emissions by 2050 in Vietnam by Do Xuan Truong

“…Vietnam’s total wood pellet output is approximately 5 million tonnes per year. …”
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Understanding Power Spectrum Density Transmissibility by Yu Zhang, Tong Zhu, Jing Zhou

“…It describes the relation between cross-spectra of system outputs. Since PSDTs with same local-reference degree of freedom (DOF) combination but with different transferring output DOFs cross each other at the system’s poles under certain load condition, the functions have been used as the primary data in operational modal analysis (OMA) to extract modal parameters, and such technique is named as PSDT-based OMA (PSDTOMA). …”
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Nonlinear connectedness of conventional crypto-assets and sustainable crypto-assets with climate change: A complex systems modelling approach. by Mushtaq Hussain Khan, Shreya Macherla, Angesh Anupam

“…Using daily data from January 2, 2019, to March 31, 2023, we investigate the nonlinear connectedness among conventional crypto-assets, sustainable crypto-assets, and CO2 emissions based on our proposed model, Multiple Inputs Single Output (MISO) Nonlinear Autoregressive with Exogenous Inputs (NARX). …”
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Adaptive Optimal Terminal Sliding Mode Control for T-S Fuzzy-Based Nonlinear Systems by Farzad Soltanian, Amir Parviz Valadbeigi, Jafar Tavoosi, Rahmat Aazami, Mokhtar Shasadeghi, Mohammadamin Shirkhani, Amirreza Azizi

“…The TSM controller is redefined into a strict feedback form, rendering it suitable for addressing output-tracking challenges in nonlinear systems. Comparative simulations validate the effectiveness of the proposed TSM controller, emphasizing its practical applicability.…”
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Real Time Implementation of Incremental Fuzzy Logic Controller for Gas Pipeline Corrosion Control by Gopalakrishnan Jayapalan, Ganga Agnihotri, D. M. Deshpande

“…A robust virtual instrumentation based fuzzy incremental corrosion controller is presented to protect metallic gas pipelines. Controller output depends on error and change in error of the controlled variable. …”
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Preparing institutions for the transition: consortial cost-sharing models in transformative agreements in Austria by Rita Pinhasi, Brigitte Kromp

“…However, the new business models disrupted the pre-transition status quo: the existing distribution of costs, based predominantly on institutional subscription spending, differed from the emerging institutional-level output and potential associated costs. While moving to fully article-based pricing was felt premature, the consortium decided to explore ways to make the internal cost distribution more equitable. …”
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Spatial Domain Adaptive Control of Nonlinear Rotary Systems Subject to Spatially Periodic Disturbances by Yen-Hsiu Yang, Cheng-Lun Chen

“…The overall spatial domain output feedback adaptive control system is robust to model uncertainties and state estimated error and capable of rejecting spatially periodic disturbances under varying system speeds. …”
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Pythagorean m-Polar Fuzzy Weighted Aggregation Operators and Algorithm for the Investment Strategic Decision Making by Muhammad Riaz, Khalid Naeem, Ronnason Chinram, Aiyared Iampan

“…Fusion (aggregation) of a number of input values in multipolar form into a sole multipolar output value is an essential tool not merely of physics or mathematics but also of widely held problems of economics, commerce and trade, engineering, social sciences, decision-making problems, life sciences, and many more. …”
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Research Progress in Deep Eutectic Solvent Extraction of Bioactive Substances from Animal-derived Processing By-products by BAI Haoxin, XU Weimin, MA Jingjing, GENG Zhiming, ZOU Ye, YANG Biao, YANG Jing, CHENG Mei, YAN Zheng, WANG Daoying, GU Xuedong

“…Animal-derived processing by-products are a treasure house of bioactive compounds with huge output and low price. Their efficient exploitation is of great significance. …”
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Transoesophageal Echocardiography for Monitoring Liver Surgery: Data from a Pilot Study by Filipe Pissarra, Antonio Oliveira, Paulo Marcelino

“…A set of TEE measurements was established as a protocol, consisting of left atrial (LA) dimension at the aortic valve plane; mitral velocity flow integral, calculation of stroke volume and cardiac output (CO); mitral annular plane systolic excursion; finally, right atrial area. …”
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A SA-Based Wireless Seismic Stress Monitoring System for Concrete Structures by S. Hou, Y. Yu, H. B. Zhang, X. Q. Mao, J. P. Ou

“…The dynamic loading scheme is applied on the SA and the output signal is measured by the wireless system and the wired system in parallel. …”
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