Joint transmit filter and sparse array design with transmit subaperturing FDA‐MIMO radar by Zihang Ding, Junwei Xie

“…In this study, joint transmit filters and sparse array design enabling the maximum signal to interference plus the noise ratio (SINR) beamforming at the transmit subaperturing frequency diverse array multiple‐input multiple‐output (TS‐FDA‐MIMO) radar is examined. …”
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APPLICATION OF COMPRESSIVE SENSING AND IMPROVED DEEP WAVELET NEURAL NETWORK IN BEARING FAULT DIAGNOSIS by DU XiaoLei, CHEN ZhiGang, ZHANG Nan, XU Xu

“…The experimental results show that the method can effectively identify the bearings with multiple fault types and multiple fault severities,which is less affected by prior knowledge and subjective knowledge and avoids complex artificial feature extraction process. …”
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Joint beamforming design for distributed IRS assisted millimeter wave MU-MISO system by Zhongjie LI, Jiyuan XIONG, Wei GAO, Jinying WEI

“…A joint beamforming design scheme for distributed intelligent reflecting surface (IRS) assisted multi-user communication was proposed to solve the reliable communication problem in the downlink of millimeter-wave multi user-multiple input single output (MU-MISO) system in non line of sight scenarios.Considering the power and constant-mode constraints, the active beamforming of the base station and passive beamforming of multiple IRS were modeled as a joint non-convex optimization problem with the objective of user weighting and sum rate maximization.A closed-form fractional programming technique was used to decouple this joint optimization problem into an easily solvable equivalent problem.A non-convex block coordinate descent algorithm was used to alternately optimize the active beamforming and passive beamforming matrices according to the prox-linear rule and the distributed successive convex approximation rule.The convergence proof and complexity analysis of the proposed algorithm were also given.The simulation results demonstrate that the algorithm can converge fast, and can effectively improve the system transmission rate with reduced complexity compared with the two baseline algorithms.…”
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Energy-Efficient Federated Learning for Internet of Things: Leveraging In-Network Processing and Hierarchical Clustering by M. Baqer

“…This approach enhances energy efficiency through single-round pattern recognition, minimizing the need for multiple communication rounds to achieve convergence. …”
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Socio Economic Assessment of Urban Forestry Respondents’ income in Okiti Pupa, Ondo State, Nigeria by OI Faleyimu, M Akinyemi

“…Data were analysed using descriptive statistics and multiple regression models. Results revealed that the average age of the respondent was estimated to be 47 years. …”
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Dual functional radar communication based on serial time division CC-CDMA by Yubo LI, Jian CUI, Junchao FENG, Xiaoyu CHEN

“…In order to improve the performance of target detection and solve the problem of self-interference and mutual interference between multiple targets and multiple users, a radar communication integration system based on serial time division CC-CDMA was proposed.Firstly, the code division multiplexing mechanism was used to adjust the spread spectrum sequence of different subcodes in the complementary code to the signals on different time slices at the transmitter through the generalized PTM sequence to generate the integrated signal of radar communication.Secondly, the receiving end of the radar processed the data twice, and the point-by-point minimization method was used to fuse the processing results to improve the target detection capability of the radar subsystem.Lastly, at the receiving end of communication, the subcodes corresponding to the spread spectrum sequence at the transmitting end were used to de-amplify the received signals, and the bit error ratio was further reduced by interleaved coding and Hamming coding.Simulation results show that compared with other radar communication integration systems, the proposed system has lower bit error rate, higher Doppler resolution and better side lobe suppression performance.…”
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Experimental and Numerical Study of Strength and Failure Behavior of Precracked Marble under True Triaxial Compression by Yong Han, Yuemao Zhao, Jinglong Li

“…The numerical results show that the crack initiation and coalescence are observed and characterized from the inner and outer tips of preexisting cracks in specimens containing single crack and multiple parallel cracks. The main shear failure in the specimen containing multiple unparallel preexisting cracks initiate and propagate from one of the macroscopic preexisting cracks, and other preexisting cracks do not initiate, propagate, and coalesce until reaching the peak strength.…”
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Fully Pipelined Implementation of Tree-Search Algorithms for Vector Precoding by Maitane Barrenechea, Mikel Mendicute, Egoitz Arruti

“…The nonlinear vector precoding (VP) technique has been proven to achieve close-to-capacity performance in multiuser multiple-input multiple-output (MIMO) downlink channels. …”
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Microbiota and metabolic dysfunction associated with steatotic liver disease by Q. Zhu, S. Francque, W. Kwanten

“…Disease progression in metabolic dysfunction-associated steatotic liver disease (MASLD) is driven by multiple mechanisms that act together in genetically predisposed subjects. …”
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Towards Reduced-Order Models of Solid Oxide Fuel Cell by Maciej Ławryńczuk

“…The objective of this work is to find precise reduced-order discrete-time models of a solid oxide fuel cell, which is a multiple-input multiple-output dynamic process. At first, the full-order discrete-time model is found from the continuous-time first-principle description. …”
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Scalable Multilabel Learning Based on Feature and Label Dimensionality Reduction by Jaesung Lee, Dae-Won Kim

“…To obtain a model within an acceptable computational cost that is restricted by practical constraints, the learning algorithm may need to identify essential data that carries important knowledge on the relation between the observed features representing the measurement value and labels encoding the multiple target concepts. This results in an increased computational burden owing to the concurrent learning of multiple labels. …”
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Intelligent operation and maintenance of power communication network based on data perception fusion by Huahui LYU, Zhe MING, Kai FAN, Qingming CHEN, Hongyu SHI, Wenjing ZOU, Dingbo WANG, Shengtao GUAN, Yong WU

“…Under the common influence of multiple factors and structural complexity in the power communication network, traditional operation and maintenance methods are vulnerable to the disturbance of abnormal voltage signal and abnormal transformer signal in the perception process, resulting in the global perception of the network and seriously affecting the overall operation and maintenance effect.In order to effectively solve the problem of perception bias caused by multiple factors, the data perception fusion algorithm was used to optimize the perception of the power parameters under the power communication network, so as to realize the effect of improving the perception accuracy and optimizing the overall quality of operation and maintenance.In the optimization scheme, the situational awareness scope of power communication network security was determined firstly.Secondly, the situational awareness of voltage security under power communication network operation was optimized.Thirdly, the security situational awareness parameters of power network transformer were defined based on the data perception fusion algorithm.Finally, the data perception fusion calculation of perception information was completed.The simulation comparison test shows that the data perception fusion algorithm has the ability to improve the overall quality of operation and maintenance, reduce the perception deviation in the process of operation and maintenance, and improve the perception sensitivity and accuracy.…”
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Kinetics and Mechanism of Oxidation of Carbenicillin by Copper (III) Periodate Complex in Aqueous Alkaline Medium by Yuv Raj Sahu, Parashuram Mishra

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Dynamics of water pollution concentration with uniform and exponential increment of pollutants by Jeevan Kafle, Ranjan Kumar Chaudhary, Bekha Ratna Dangol

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Computing Resource Allocation Strategy Using Biological Evolutionary Algorithm in UAV-Assisted Mobile Edge Computing by Li Wang, Xiang Yao, Zhenqi Yuan

“…Secondly, the objective function and overall model of system are constructed by comprehensively considering multiple constraints. Then, improved genetic algorithm is introduced into the model. …”
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Data Transmission with Reduced Delay for Distributed Acoustic Sensors by Hyun-Gyu Ryu, Sang-Keum Lee, Dongsoo Har

“…This paper proposes a channel access control scheme fit to dense acoustic sensor nodes in a sensor network, where multiple acoustic sensor nodes within communication range of a cluster head are grouped into clusters. …”
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Multi-Controller Placement Optimization Using Naked Mole-Rat Algorithm over Software-Defined Networking Environment by A. Binod Sapkota, B. Babu R. Dawadi, C. Shashidhar R. Joshi

“…To achieve scalability, deployment of multiple controllers on large-scale SDN is one of the key challenges. …”
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Abelia x grandiflora 'Edward Goucher' by Edward F. Gilman

“… Glossy abelia is a fine-textured, semi-evergreen, sprawling shrub with 1.5-inch-long, red-tinged leaves arranged along thin, arching, multiple stems (Figure 1). It is a hybrid between A. chinensis and A. uniflora. …”
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Review Of The Application Of Artificial Intelligence (AI) Exercise Training In Improving Cognitive Function In The Elderly Population by Tingran Zhang, mufan Zhang, Jiong Luo

“…The results show that AI training has been used in multiple fields, breaking through many limitations of traditional action recognition technology. …”
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Re-evaluation of Underflow Energy Dissipation Effect Based on AHP-fuzzy Comprehensive Evaluation Method by LIU Jialin, QIU Yong, ZHOU Xinyu, PU Jinbing, JIANG Yujia

“…The effects of current underflow energy dissipation are basically evaluated by a single indicator (energy dissipation rate) based on engineering safety.To better adapt to the construction needs of ecological water conservancy,this paper comprehensively analyzes all relevant factors of underflow energy dissipation and conducts the qualitative and quantitative analysis of multiple indicators by the application of hierarchical analysis and fuzzy comprehensive evaluation.It sets two criterion layers of main characteristic indicators (energy loss,aeration concentration of water body after energy dissipation,fluctuation pressure,and tail water flow pattern) and minor characteristic indexes (anti-impact flow velocity of downstream,Froude number of pre-jump section, and inundation degree).Then,it calculates the corresponding weights and degree of membership respectively to obtain the re-evaluation result of the energy dissipation effect of a grid underflow energy dissipater being 83.3 points (B grade).The results show that the comprehensive evaluation based on multiple factors can better take into account the ecological requirements and other influencing factors of the downstream river on the premise of meeting engineering safety.…”
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