The Impact of Artificial Intelligence on Financial Management by Mihai ANDRONIE, Irina DIJMARESCU

“…The study probes AI's role in optimizing operational efficiency, risk reduction, as well as personalization of financial services. …”
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A Priority-Based CSMA/CA Mechanism to Support Deadline-Aware Scheduling in Home Automation Applications Using IEEE 802.15.4 by Mario Collotta, Gianfranco Scatà, Giovanni Pau

“…This work addresses several advantages due to the introduction of rate monotonic (RM) for guaranteed time slots (GTSs) allocation combined with priority-based CSMA/CA for latencies reduction on transmission attempts as clearly demonstrated by obtained results.…”
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Task domain independent speech keyword detection system by HAN Jiang, LIU Xiao-xing, YAN Yong-hong, ZHANG Peng-yuan

“…A multiple scale acoustic modeling framework for task-domain independent keyword spotting was proposed.A large-scale phoneme set was obtained automatically through decision-tree based phoneme clustering,and a large-scale phoneme acoustic context dependent background model was trained accordingly through using standard HMM training framework.The modeling accuracy for filler speech is improved.Under the framework,an efficient searching space construction through using shared HMM state was also described.Experimental results showed that in average absolute 6.9% improvement of keyword recognition accuracy could be obtained.Furthermore an acoustic context neighbor algorithm to measure acoustic confidence and a method of computing candidate keyword likelihood based on proposed multiple-scale acoustic model were proposed and a fusing method based on FLDA was adopted.The effectiveness of acoustic confidence measure is improved significantly.Experimental results showed that absolute 3.0% reduction of equal error rate could be obtained.…”
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Influence of Friction Forces and Gravity on the Quality of Movement in the MWR Rehabilitation Supporting Device by Bogusz Lewandowski

“…To address these issues, friction and gravity compensation functions were derived empirically and integrated into the control system’s algorithm. Implementing these compensation functions resulted in a substantial improvement in movement quality, as demonstrated by a reduction of over 50% in the integral of the absolute position error. …”
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APPLICATION OF IMPROVED GWO-SVM IN WIND TURBINE GEARBOX FAULT DIAGNOSIS by HU Xuan, LI Chun, YE KeHua, ZHANG WanFu

“…The improved gray wolf algorithm is used to optimize the support vector machine to diagnose the gearbox fault feature set after dimensionality reduction. …”
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Research on optimization of C4 repair operation of Harmony electric locomotive based on preventive maintenance. by Yihan Liu, Jieping Wu, Qiaoyu Wu

“…The results of the study showed that the preventive maintenance approach resulted in a 51.04% reduction in total cost and a 7.89% increase in availability over the same operating cycle compared to the traditional fixed repair schedule maintenance program. …”
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Design and experiment of a multimodal aerial aquatic vehicle with morphing wing and tilting rotors by Minghai Xia, Baocai Wang, Zirong Luo

“…The attitude control and a control allocation algorithm were established for locomotion control. …”
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A new method for reducing 5G overlapping coverage of urban grid roads by Yejiang ZHANG, Jie CHEN, Yi LIU, Xingzheng LI, Fuyang LI, Jian HU

“…The 5G network for urban grid road scenes has entered a new stage of refined operation and maintenance.The main contradiction has also shifted from insufficient coverage to severe overlapping coverage of some road sections.5G overlapping coverage will have a significant impact on users’ basic services such as internet access and voice.The optimization of traditional road overlapping coverage has many problems, such as inconsistent standards, recurring problems, and low work efficiency.The concept of overlapping coverage contribution was proposed, and an algorithm for root cause analysis of overlapping coverage was designed based on expert experience.An IT platform for optimizing overlapping coverage problems was also developed.The practice has proven that this method can effectively reduce the 5G overlapping coverage rate of urban grid roads, help enterprises save network optimization costs, and truly achieve the goal of cost reduction and efficiency increase.…”
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RESEARCH ON ACOUSTIC RADIATION CHARACTRRISTICS OF PERIODIC PERFORATED DAMPING SANDWICH PLATE by ZHOU JingDong, WEN Yao, CHEN Yuan, LIU MingYong, LIU Yang

“…Base on the principle of damping reduction vibration and reference the periodic boundary conditions,through the acoustic bridge vibration energy transfer, this paper established a double-layer plate with the opening damping model;Considering the frequency-dependent properties of viscoelastic,through the finite element and boundary element numerical algorithm of calculating the radiation sound power,analyzes the periodic perforated damped sandwich plate structure acoustic radiation characteristics. …”
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Mutation analysis of annual sediment discharge at Wu Long station in Wu Jiang River Basin from 1960 to 2016. by Peng Chen, Guangming Tan, Jinyun Deng, Quanxi Xu, Rouxin Tang

“…The mutation of average annual sediment discharge in Wu Jiang River Basin is caused by both climate change and human activity. Sediment reduction effect of the hydraulic engineerings built since 1990s climate is main and direct, and the climate change have secondary effect on sediment discharge change.…”
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Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM by Li Sha, Pan Hongxia, Zhang Jundong, Zhao Weiwei

“…Aiming at the non-stationary and nonlinear of gearbox vibration signals,a fault diagnosis method based on the multi-fractal and particle swarm optimization support vector machine（PSO-SVM）is put forward.Firstly,the fractal filter with short-time fractal dimension as fuzzy control parameters is used to filtering noise reduction the gearbox vibration signals with bigger background noises.Secondly,the multi-fractal spectrum algorithm is applied to analyze the signal after filtering,the results show that the characteristic parameters:Δa（q）、f（a（q））maxand box dimensions Dbcan give a good presentation for gearbox working condition.Finally,the particle swarm optimization（PSO）is applied to optimize the parameters of support vector machine（SVM）.Taking the multi-fractal characteristic vectors as input parameters of PSO-SVM and SVM to recognize the fault types of the gearbox.The results show that SVM based on particle swarm optimization can improve the classification accuracy.Meanwhile,the validity of gearbox fault diagnosis based on muti-fractal and PSO-SVM is proved.…”
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A Coordinated Allocation Method for Right-Turn Strategy at Signalized Intersections with Optimal Pedestrian and Vehicle Delays by Yu Bai, Wanyan Luo

“…With strict enforcement of pedestrian right of way at all intersections, the inappropriate right-turn resource allocation from a spatial and temporal perspective will lead to a reduction in the operational efficiency of the intersection. …”
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立磨减速机弧齿锥齿轮副动态疲劳性能研究 by 张明

“…The 3Dcontact finite element model of the input spiral bevel gear pair of vertical mill reducer is built,the flexible-body dynamics simulation analysis of bevel gear pair is carried out by using the LS-DYNA software,and the transient contact force is obtained,the fatigue life of the bevel gear pair is performed by using maximum main stress algorithm in FE-SAFE based on fatigue load spectrum,the S-N curve of the bevel gear pair and stress results of the bevel gear pair under static load.Then,the influence of stress concentration,loads and residual stress on fatigue life of bevel gear pair are studied based on the results above.The results indicate that the life decreases of bevel gear pair with the increase of stress concentration and loads,the fatigue life shows sensitization to loads,the residual tensile stress leads to a reduction of bevel gear pair fatigue life,however,the residual press stress leads to a increase of bevel gear pair fatigue life.…”
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The Combination of Spectrum Subtraction and Cross-power Spectrum Phase Method for Time Delay Estimation by Feng BIN, Xu LEI

“…Finally, the joint simulation results of the whole algorithm show that the combination of spectrum subtraction and crosspower spectrum phase method can effectively sharpen the peak value of cross-correlation function and improve the accuracy of time delay estimation in the low SNR environment. …”
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Three stages of laboratory stewardship in improving appropriate Clostridioides difficile testing in a community-based setting by Michael S. Wang, Gretchen Zimmerman, Theresa Klein, Bethany Stibbe, Monica Rykse, Samuel Ballard, Naveen Vijayam, Joe Brown, Khateeb Raza, Shannon Beckman, Andrew M. Skinner

“…The EMR hard stop resulted in a (28%) reduction in the CDI testing rate (adjusted incidence rate ratio ((aIRR): 0.72; 95% confidence interval [CI], 0.53 to 0.96)) and ID review resulted in a (42%) reduction in the CDI testing rate (aIRR: 0.58; 95% CI, 0.42–0.79). …”
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Early Warning of Nerve Agent Release in Large Indoor Environments Based on Encoder-Decoder Coupling Physics-Informed Neural Network by Shuobei Sun, Yang Peng, An Wang, Yiwen Xie, Yang Hu, Zhongyu Hou

“…Extensive experiments are conducted, and the results indicate that our model attains the highest performance among all the algorithms proposed in this paper. The difference between the actual and predicted results is small, and the scatter points are distributed around the fitted curves. …”
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A study on rolling bearing fault diagnosis using RIME-VMD by Zhenrong Ma, Ying Zhang

“…Abstract To address the challenges of feature extraction in Variational Mode Decomposition (VMD) for rolling bearing fault diagnosis, this paper proposes a feature extraction method optimized by the RIME algorithm, called RIME-VMD. First, under various rolling bearing fault conditions, the RIME algorithm is employed to determine the optimal combination of decomposition components and penalty factors in VMD. …”
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Design of smart agriculture based on big data and Internet of things by Chunling Li, Ben Niu

“…The crop growth curve is simulated and compared with improved K-means algorithm and the original k-means algorithm in the experimental analysis. …”
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Evaluating the Effect of Thermal Treatment on Phenolic Compounds in Functional Flours Using Vis–NIR–SWIR Spectroscopy: A Machine Learning Approach by Achilleas Panagiotis Zalidis, Nikolaos Tsakiridis, George Zalidis, Ioannis Mourtzinos, Konstantinos Gkatzionis

“…Models trained on the 1000–2500 nm and 1400–2500 nm ranges showed minor reductions in accuracy, suggesting that classification is not solely driven by visible characteristics. …”
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Research on Control System for Material Transport Vehicle Based on Stacking Model by LIU Yuanming, TANG Lingsi, Zen Shuhua

“…Finally, the control system was reinforced using an improved proportional-integral-differential (PID) control algorithm to optimize the control performance. This algorithm not only ensures control stability and accuracy, but also reduces energy consumption and mechanical wear. …”
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