Realising value from big data analytics: The process of affordance actualisation by Firdous Mohd Farouk, Christophe Schinckus, Sandra Smith

“…By highlighting the iterative and dynamic nature of the affordance actualisation process, this research extends theoretical insights into how organisations build BDA capabilities to realise value.This multi-layered research provides practitioners in banking and other sectors with actionable insights to enhance BDA implementation and realise its potential value.…”
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Damage Identification of Structures Based on Smooth Orthogonal Decomposition and Improved Beetle Antennae Search Algorithm by Zhixiang Hu, Peiguan Zhang

“…Then, the reduction in the stiffness at the damage location of the structure is calculated by the improved BAS in which the fitness function is constructed by calculated frequencies of the damaged structure in each iteration and the modal frequencies obtained by SOD. …”
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ANALYSIS OF BEARING PERFORMANCE OF HYDRODYNAMIC AND HYDROSTATIC BALL BEARINGS UNDER INTERFACE SLIP BASED ON ORIFICE THROTTLING by ZHOU YiHao, SHEN JingFeng, CHEN YuFei

“…The Reynolds equation and the oil film thickness equation are solved by the finite difference method and the relaxation iterative method. The oil film pressure distribution and bearing capacity of the hydrostatic ball bearing considering interface slip are calculated. …”
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Improved Tomlinson–Harashima Precoding for Ultra Reliable Communication in Intelligent Transportation Systems by Shibiao He, Xinyi Yang, Yong Liao

“…Channel state information (CSI) and correlation are exploited to compensate instantaneous CSI, which could reflect current real-time channel status exactly. Further, the iterative water filling power allocation algorithm and the multiuser scheduling algorithm based on the greedy algorithm are jointly optimized and applied to the THP, which could improve the system performance. …”
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Node selection method in federated learning based on deep reinforcement learning by Wenchen HE, Shaoyong GUO, Xuesong QIU, Liandong CHEN, Suxiang ZHANG

“…To cope with the impact of different device computing capabilities and non-independent uniformly distributed data on federated learning performance, and to efficiently schedule terminal devices to complete model aggregation, a method of node selection based on deep reinforcement learning was proposed.It considered training quality and efficiency of heterogeneous terminal devices, and filtrate malicious nodes to guarantee higher model accuracy and shorter training delay of federated learning.Firstly, according to characteristics of model distributed training in federated learning, a node selection system model based on deep reinforcement learning was constructed.Secondly, considering such factors as device training delay, model transmission delay and accuracy, an optimization model of accuracy for node selection was proposed.Finally, the problem model was constructed as a Markov decision process and a node selection algorithm based on distributed proximal strategy optimization was designed to obtain a reasonable set of devices before each training iteration to complete model aggregation.Simulation results demonstrate that the proposed method significantly improves the accuracy and training speed of federated learning, and its convergence and robustness are also well.…”
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A reduced-complexity compressed sensing channel estimation for underwater acoustic channel by Xuan YU, Xuan GENG

“…Aiming at the sparse characteristics of underwater acoustic channels for shallow seas, a reduced-complexity look-ahead backtracking orthogonal matching pursuit (RC-LABOMP) channel estimation algorithm was proposed.Firstly, two types of support sets of orthogonal matching pursuit and subspace pursuit channel estimation algorithms were calculated, and then prior information based on the intersection and union of the two support sets were preprocessed.At last, the preprocessed prior information was used to complete look-ahead backtracking orthogonal matching pursuit channel estimation.The preprocessed prior information leads to the decrease of the iteration number of original LABOMP, and reduction of the atom index range, thus the proposed algorithm can reduce the computational complexity of original LABOMP significantly.In addition, combining the proposed algorithm with the underwater acoustic Turbo equalization system is more suitable for underwater acoustic communication systems.Simulation results show that the proposed algorithm demonstrates high estimation accuracy and low bit error rate performance under both conditions of random channels and underwater acoustic channels.It also reduces the computational complexity of the LABOMP algorithm.Therefore, it is an effective method for shallow seas underwater acoustic channels estimation algorithm.…”
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New construction of mutually orthogonal complementary sequence sets by LIU Kai, MENG Fanfei, PENG Peidong

“…The new concept of coefficient paraunitary (CPU) matrices was defined, and by employing matrix multiplication, Kronecker product, and matrix iteration techniques, three types of PU matrices with varying sizes were constructed. …”
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Perturbation Methods for the Eigencharacteristics of Symmetric and Asymmetric Systems by Philip D. Cha, Austin Shin

“…In the incremental perturbation method, the straightforward approach is extended to analyze systems with large perturbations using an iterative scheme. Finally, in the triple product method, the accuracy of the approximate eigenvalues is significantly improved by exploiting the orthogonality conditions of the perturbed eigenvectors. …”
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Inverse Design of Centrifugal Compressor Stages Using a Meanline Approach by Yuri Biba, Peter Menegay

“…The governing conservation equations for each component of a stage are presented, and then described in terms of an iterative procedure which calculates the required one-dimensional geometry. …”
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Viscosity Approximation Methods for Nonexpansive Nonself-Mappings in Hilbert Spaces by Rabian Wangkeeree

“…For a contraction f on C and {tn}⊆(0,1), let xn be the unique fixed point of the contraction x↦tnf(x)+(1−tn)(1/n)∑j=1n(PT)jx. Consider also the iterative processes {yn} and {zn} generated by yn+1=αnf(yn)+(1−αn)(1/(n+1))∑j=0n(PT)jyn, n≥0, and zn+1=(1/(n+1))∑j=0nP(αnf(zn)+(1−αn)(TP)jzn),n≥0, where y0,z0∈C,{αn} is a real sequence in an interval [0,1]. …”
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The rupture process of the Hualien M7.3 sequence on April 3, 2024 by Zhigao Yang, Huifang Chen

“…Based on local strong-motion data, we used the IDS (Iterative Deconvolution and Stacking) method to obtain the rupture process of the mainshock and two strong aftershocks on the 23rd. …”
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Intelligent Identifi cation and Classifi cation Algorithm and Simulation of Satellite Internet Business by Tao CUI, Zhiyuan REN, Jun LI, Qinggui TAN, Jingling LI, Wei LIANG

“…With the continuous growth of task requirements and the increasing types of access services, new challenges are raised to the multi-service collaborative transmission capability and the global scheduling capability of network resources of satellite Internet.It is necessary to diff erentiate the services carried by it to optimize resource allocation to meet the service quality assurance requirements of satellite internet multi-service.A business intelligence identifi cation and classifi cation algorithm for satellite dynamic network was proposed.By analyzed the connectivity between satellites, a spatio-temporal steady state diagram was established, the dynamic satellite network topology was determined, and a satellite simulation network was constructed.Sampling to form a training data set, a business intelligence recognition method based on grayscale image was proposed, and the captured data packet was converted into a grayscale image as the input of the algorithm for training and identifi cation under the satellite dynamic scene.The results showed that with the increase of the number of iterations, the recognition accuracy increases, and the recognition accuracy was 97% or more, which verifi ed the eff ectiveness of the proposed algorithm and provided technical support for the development of satellite internet space payloads.…”
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Inverse problems with the digital image correlation: approach and applications by E. Sgambitterra, F. Niccoli

“…In addition, thanks to ad-hoc developed iterative algorithms, non-linear phenomena related to high and localized stress/strain states, can be captured successfully. …”
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Aerial reconfigurable intelligent surfaces-assisted full-duplex UAV secure communication by LUO Junsong, HUANG Ping, LUO Xinyue, LAI Huan, DUO Bin, YUAN Xiaojun

“…An optimization problem was designed to maximize the minimum average achievable security rate by jointly optimizing user communication scheduling, transmission power, the interference power sent by UAV, their flight trajectories, and the phase shifts and trajectories of ARIS. An iterative algorithm based on alternating optimization (AO), semi-definite relaxation (SDR) techniques, and successive convex approximation (SCA) was proposed to obtain high-quality suboptimal solutions. …”
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Geometric Condition of Planar Engagement and Stress Analysis of Cup Bottom of Bell Shaped Harmonic Gear by Xing Jingzhong, Pang Manyi, Chen Xiaoxia, Yao Yunpeng

“…The geometric condition of the bell shaped curve which realizes planar deformation of the tooth ring is solved iteratively，that is，the relationship between the ratio of the radius of the tooth ring to the radius of the bell shaped curve and the central angle of the circular bell shaped curve. …”
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Two-dimensional pseudo-random coupled map lattices system based on partitioned elementary cellular automata and its dynamic properties by Youheng DONG, Geng ZHAO, Yingjie MA

“…To solve the weak chaos in the spatiotemporal chaotic system based on coupled map lattices under some control parameters and the un-uniformity of sequences generated by the coupled map lattices, a two-dimensional pseudo-random coupled map lattices (2D-PRCML) system was proposed.Firstly, the two-dimensional partitioned elementary cellular automata (2D-PECA) was designed to establish pseudo-random coupling.Secondly, iterative results of 2D-PECA were utilized to perturb the 2D-PRCML system.The chaotic behaviors of the proposed system, such as the bifurcation diagram, Kolmogorov-Sinai entropy, were investigated.Moreover, the uniformity of sequences generated by the 2D-PRCML system was discussed, and the correlation coefficients between any two sequences generated by different lattices were acquired.The analyses and tests indicate that the 2D-PRCML system exhibits stronger chaotic behavior.Furthermore, the sequence generated by the proposed system possesses better uniformity, randomness, and unpredictability.The outstanding properties of the 2D-PRCML system prove that it is more suitable for applying in cryptography and chaotic secure communication.…”
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Improved Ant Algorithms for Software Testing Cases Generation by Shunkun Yang, Tianlong Man, Jiaqi Xu

“…The results indicate that the improved method can effectively improve the search efficiency, restrain precocity, promote case coverage, and reduce the number of iterations.…”
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Optimization and Prediction of Energy Consumption, Daylighting, and Thermal Comfort of Buildings in Tropical Areas by Jianjian Zhang, Lin Ji

“…First, this research uses Rhino3D and the Grasshopper plug-in to build an architectural model and uses the Octopus plug-in in Grasshopper to iteratively calculate the target value to solve the multiobjective balance problem and find the relative optimal value. …”
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Solution of the self-dual Φ4 QFT-model on four-dimensional Moyal space by Harald Grosse, Alexander Hock, Raimar Wulkenhaar

“…The appearing functions are hyperlogarithms defined by iterated integrals, here of alternating letters 0 and −1. …”
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Prevention and Detection Research of Intelligent Sports Rehabilitation under the Background of Artificial Intelligence by Qiong Huang, Fubin Wang

“…In the inner loop, a sliding mode iterative learning controller is designed to suppress periodic disturbance and abnormal jitter and achieve stable tracking of the target trajectory. …”
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