Coordinated Control Strategies for Enhancing Frequency Stability of Photovoltaic and Storage Networking Systems by JIANG Shouqi, ZHANG Haifeng, FU Gui, XIN Yechun, WANG Lixin

“…[Methods] The proposed method analyzes the frequency regulation demand of the system under different operating conditions according to the power regulation margin and unbalanced power of the synchronous machine and designs a self-synchronous control strategy for the grid-connected inverter that transmits the frequency change information while proactively supporting inertia. …”
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Effect of pulse frequency on microstructure and properties of laser additive manufactured Inconel 718 by Yuanjun Su, Jingjie Zhang, Guangchun Xiao, Hui Chen, Mingdong Yi, Zhaoqiang Chen, Hui Zhang, Chonghai Xu

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Seven unique frequency profiles for scoring vigilance states in preclinical electrophysiological data by Freja Gam Østergaard, Martien J. H. Kas

“…Based on these assumptions, a scoring method with a set frequency profile for each vigilance state, both in sleep and awake, was developed and validated. …”
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An Analytical Solution for Natural Frequencies of Elastically Supported Stepped Beams with Rigid Segments by Ferid Kostekci

“…This study indicates that the physical and geometric parameters of the elastic supports and rigid segments affect the natural frequencies of the beam. The revealed analytical method can be used to calculate the natural frequencies and mode shapes of all beam types, such as elastically supported uniform beams and single-step beams with or without concentrated mass and/or rigid segments.…”
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Gesture Recognition System Based on Time-Frequency Point Density of sEMG by Qiang Wang, Yao Chen, Chunhua Sheng, Shuaidi Song

“…And in the process of detecting the movement status of the finger, focusing on the deficiency of traditional methods in using empirical thresholds to detect the sEMG active segment, we proposed an adaptive recognition method based on time-frequency point density. …”
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The usefulness of automated high frequency ultrasound image analysis in atopic dermatitis staging by Joanna Czajkowska, Adriana Polańska, Anna Slian, Aleksandra Dańczak-Pazdrowska

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Phase–Frequency Cooperative Optimization of HMDV Dynamic Inertial Suspension System with Generalized Ground-Hook Control by Yihong Ping, Xiaofeng Yang, Yi Yang, Yujie Shen, Shaocong Zeng, Shihang Dai, Jingchen Hong

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HIFDA - High-Frequency Electrical Voltage and Current Signals from Household Appliances by Víctor M. Navarro, Marta Barragán, Rubén Nieto, Jesús Ureña, Álvaro Hernández

“…These aim to disaggregate energy consumption and classify appliances using data from a single-point smart meter at a household’s grid mains. With the use of machine learning methods, NILM solutions increasingly rely on datasets for training and validation. …”
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Frequency-Dependent Acoustic Reflection for Soil Classification in a Controlled Aquatic Environment by Moshe Greenberg, Uri Kushnir, Vladimir Frid

“…By eliminating environmental variability and focusing on intrinsic soil properties, this study establishes a foundation for automated, non-invasive classification methods that could be integrated into machine learning frameworks for real-time seabed characterization. …”
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Synthesis of a Radiator in the Frequency Range of 0.9…5.8 GHz by Ilya A. Litovsky, Evgeny A. Mavrychev

“…The main objective of this work is the synthesis of a radiator for an ultra-wideband antenna array in the frequency range of 0.9…5.8 GHz.Materials and methods. …”
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High-Frequency Model of the Toroidal Powder Core and Winding of a Litz Wire by Marcin Pawlak, Urszula Pawlak

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Improvement of surface roughness in simultaneous two turrets turning with low-frequency vibration by Shogo NAKAMURA, Kenichi NAKANISHI, Kenji OHARA, Yoshikatsu NAKAMURA, Chao WANG, Jiahui LIU, Shun TANAKA, Toru KIZAKI, Naohiko SUGITA

“…Low-frequency vibration cutting (VC) is a machining technology wherein a tool periodically vibrates to break cutting chips. …”
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Noise sources identification in machines and mechanical devices by Czesław CEMPEL, Urszula KOSIEL

“…This paper presents a method for the determination of noise sources locations in machines and mechanical devices. …”
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The novel Vogel's approximation method integrated with a random forest algorithm in the vibration analysis of a two-directional functionally graded taper porous beam: Assessment by Ravikiran Chintalapudi, Geetha Narayanan Kannaiyan, Bridjesh Pappula, Seshibe Makgato

“…By combining Vogel's approximation method with machine learning techniques, the study improved vibration behavior analysis in FGTPB. …”
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Novel design method for cascade control structure of electric drives: Closed‐form expressions for control gains via pole placement by Csaba Budai, Tamás Tóth‐Katona, Péter Stumpf

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Enhanced Performance by Time-Frequency-Phase Feature for EEG-Based BCI Systems by Baolei Xu, Yunfa Fu, Gang Shi, Xuxian Yin, Zhidong Wang, Hongyi Li, Changhao Jiang

“…We introduce a new motor parameter imagery paradigm using clench speed and clench force motor imagery. The time-frequency-phase features are extracted from mu rhythm and beta rhythms, and the features are optimized using three process methods: no-scaled feature using “MIFS” feature selection criterion, scaled feature using “MIFS” feature selection criterion, and scaled feature using “mRMR” feature selection criterion. …”
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Structural design and experiment of automatic cooking machine by ZHANG Fan, NING Meng, DENG Qian

“…<b>Methods:</b> The modular design method oriented to function and structure was adopted to design each module mechanism of the frying machine. …”
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Ｒecognition of Instruments’Sounds Based on VMD and PSO by HUANG Ying-lai, ＲEN Tian-li, ZHAO Peng

“…Proposing the method that based on the variational mode decomposition ( VMD) and particle swarm optimization ( PSO) optimized support vector machine ( SVM) are used to recognize the audio signals of the musical instruments aiming at the problem of the low recognition rate of musical instruments audio signals． …”
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Multi-body sensor based drowsiness detection using convolutional programmed transfer VGG-16 neural network with automatic driving mode conversion by Meenakshi Malik, Preeti Sharma, Gurpreet Kaur Punj, Supreet Singh, Fikreselam Gared

“…This study suggests a novel method for machine learning-based automatic driving change-based drowsiness detection. …”
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Influence of Tool Wear and Workpiece Diameter on Surface Quality and Prediction of Surface Roughness in Turning by Chunxiao Li, Guoyong Zhao, Dong Ji, Guangteng Zhang, Limin Liu, Fandi Zeng, Zhihuan Zhao

“…In addition, based on machining parameters, tool wear and workpiece diameter, this empirical model, the response surface method and a support vector machine are used to model and predict surface roughness. …”
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