An optimizated additional damping control for suppressing ultra‐low frequency oscillation suppression based on SVC by Huabo Shi, Chengwei Fan, Xueyang Zeng, Gang Chen, Baorui Chen, Zhen Chen

“…Consequently, a parameter optimization design method for SVC additional damping control is proposed, it is modelled as the optimization problem of damping ratio in ULFO mode under multi‐operation conditions, which is solved by a particle swarm optimization algorithm. Finally, the effectiveness of the designed SVC additional damping controller is verified in the improved four‐machine two‐area power system and the actual power grid in China.…”
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Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System by Takashi Kuremoto, Takahito Komoto, Kunikazu Kobayashi, Masanao Obayashi

“…The improved SOM is applied to construct a voice instruction learning system for partner robots adopting a simple reinforcement learning algorithm. User's instructions of voices are classified by the PL-G-SOM at first, then robots choose an expected action according to a stochastic policy. …”
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Construction of a Complex System Based on Big Data for the Intelligent Service System of Youth Physical Health by Xinwen Li, Chao Song, Christine A. Rochester, Chaobing Yan

“…From the experimental data, the improved particle swarm algorithm in this paper increases the effectiveness of the system in adolescent health data mining from 80.5% to 92.19%, which undoubtedly optimizes the system. …”
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Methodology to minimize the dynamic response of tall buildings under wind load controlled through semi-active magneto-rheological dampers by Francisco da Silva Brandão, Alex Koch de Almeida, Letícia Fleck Fadel Miguel

“…In the second configuration, called Uncontrolled Optimized (C2), the fundamental frequency of the building is optimized via PSO algorithm as a function of its mass. Then, in the third configuration, Controlled Optimized (C3), a set of MR dampers with behavior formulated via the modified Bouc-Wen rheological model and controlled through the Linear Quadratic Regulator associated with the Clipped Optimal control strategy (LQR-CO) is applied to the structure. …”
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A CBA-KELM-Based Recognition Method for Fault Diagnosis of Wind Turbines with Time-Domain Analysis and Multisensor Data Fusion by Xiafei Long, Ping Yang, Hongxia Guo, Zhuoli Zhao, Xiwen Wu

“…In this paper, a novel fault diagnosis methodology based on a cloud bat algorithm (CBA)-kernel extreme learning machines (KELM) approach for wind turbines is proposed via combination of the multisensor data fusion technique and time-domain analysis. …”
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FFA-GAN: A Generative Adversarial Network Based on Feature Fusion Attention for Intelligent Safety Monitoring by R. Chang, B. Zhang, Y. Zhang, S. Gao, S. Zhao, Y. Rao, X. Zhai, T. Wang, Y. Yang

“…However, the current detection algorithms have limited abilities under adverse conditions, especially in regions like Yunnan Province with complex terrain. …”
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Study on Tooth Surface Roughness Modeling of Form Grinding Considering the Change of the Local Grinding Condition by Chen Xiaoqi, Tang Cheng, Liao Xianggui, Zhou Weihua, Tang Jinyuan

“…Based on the generation mechanism of grinding surface roughness, the surface roughness of formed grinding teeth is obtained by an iterative algorithm. The forming grinding test of 12Cr2Ni4A gear material after carburizing and quenching is carried out. …”
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WGCNA and integrative network analysis identify CHRNA5 and CTLA4 as potential therapeutic targets against angiosarcoma by Trishla Bhatnagar, Madiha Haider, Mohd Yasir Khan, Mohammad Zahid Ashraf

“…The Maximal Clique Centrality algorithm was applied to gene modules, and unclustered network analysis was conducted on differentially expressed genes to identify true hub genes. …”
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Heterogeneous Social Linked Data Integration and Sharing for Public Transportation by Wei Zhao, Bing Zhou, ChaoYang Zhang

“…Furthermore, we conduct performance tests of the new C2RMF (CSV to RDF Mapping File) algorithm and functional and non-functional tests to demonstrate the stability and effectiveness of the approach. …”
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Analysis of Oscillations during Out-of-Step Condition in Power Systems by Zainab Alnassar, S. T. Nagarajan

“…The article has been carried out on a single machine infinite bus (SMIB) to monitor generator OOS, Kundur’s two-area system to detect interarea OOS, and the IEEE39 bus system to identify OOS condition and with a new algorithm. Time-domain simulation studies carried out with OPAL-RT real-time simulator in HYPERSIM environment corroborates with analytical results.…”
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Smart Cylindrical Dome Antenna Based on Active Frequency Selective Surface by Tongyu Ding, Shaoqing Zhang, Liang Zhang, Yanhui Liu

“…Moreover, in order to overcome the unavailable analytical synthesis caused by complex mutual coupling between columns, we develop a genetic algorithm based optimization system and conducted a serial of experiments to evaluate the high-gain, nulling, continuously steering, and frequency-invariant ability. …”
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A New Local Descriptor Based on Strings for Face Recognition by Hicham Zaaraoui, Abderrahim Saaidi, Rachid El Alami, Mustapha Abarkan

“…The face image is first divided into nonoverlapping subregions from which the strings (words) are extracted using the principle of chain code algorithm and assigned into the nearest words in a dictionary of visual words (DoVW) with the Levenshtein distance (LD) by applying the bag of visual words (BoVW) paradigm. …”
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Distributed Synchronization Control to Trajectory Tracking of Multiple Robot Manipulators by Yassine Bouteraa, Jawhar Ghommam, Gérard Poisson, Nabil Derbel

“…Based on the well-known consensus algorithm, the control strategy consists in synchronizing the joint position and the velocity of each robot in the network with respect to neighboring robots' joints and velocities. …”
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Optical Coherence Tomography Noise Reduction Using Anisotropic Local Bivariate Gaussian Mixture Prior in 3D Complex Wavelet Domain by Hossein Rabbani, Milan Sonka, Michael D. Abramoff

“…On this base, several OCT despeckling algorithms are obtained based on using Gaussian/two-sided Rayleigh noise distribution and homomorphic/nonhomomorphic model. …”
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Influence of Inter-row Gap Value on Turbine Losses by Paul G. A. Cizmas, Corbett R. Hoenninger, Shun Chen, Harry F. Martin

“…The rotor-stator interaction in a (1/2)-stage turbine is simulated by solving the quasi-three-dimensional unsteady Euler/Navier-Stokes equations using a parallelized numerical algorithm. The reduced turnaround time and cost/MFLOP of the parallel code was crucial to complete the numerous run cases presented in this paper. …”
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A machine-learning-based hardware-Trojan detection approach for chips in the Internet of Things by Chen Dong, Jinghui Chen, Wenzhong Guo, Jian Zou

“…Finally, the hardware-Trojan classifier was trained and detected based on the new feature set by the eXtreme Gradient Boosting algorithm, respectively. The experimental results show that the proposed method can obtain 89.84% average Recall , 86.75% average F-measure , and 99.83% average Accuracy , which is the best detection result among existing machine-learning-based hardware-Trojan detection methods.…”
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Application of the Logistics Management System Based on Cloud Computing Technology by Shuai Zhang

“…This paper analyzes the advantages of processing the real-time routing of distribution vehicles under the cloud computing mode and establishes the application service architecture of vehicle routing optimization in cold chain logistics; under this architecture, multisource real-time traffic information is obtained, the vehicle distribution time and comprehensive cost are analyzed, the vehicle routing optimization model of cold chain logistics distribution is constructed, and the coarse-grained parallel genetic algorithm is used to solve the model in the cloud computing environment. …”
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Web application using machine learning to predict cardiovascular disease and hypertension in mine workers by Sohrab Effati, Alireza Kamarzardi-Torghabe, Fatemeh Azizi-Froutaghe, Iman Atighi, Somayeh Ghiasi-Hafez

“…After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines. …”
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Feature engineering descriptors, transforms, and machine learning for grain boundaries and variable-sized atom clusters by C. Braxton Owens, Nithin Mathew, Tyce W. Olaveson, Jacob P. Tavenner, Edward M. Kober, Garritt J. Tucker, Gus L. W. Hart, Eric R. Homer

“…Key steps for property prediction common to grain boundaries and other variable-sized atom clustered structures include: (1) describing the atomic structure as a feature matrix, (2) transforming the variable-sized feature matrix to a fixed length common to all structures, and (3) applying a machine learning algorithm to predict properties from the transformed matrices. …”
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Machining effects and multi-objective optimization in Inconel 718 turning with unitary and hybrid nanofluids under MQL by Paresh Kulkarni, Satish Chinchanikar

“…The cutting parameters were optimized by combining the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) and genetic algorithm. The study reveals an average error of less than 10% between experimental and predicted responses from the proposed optimization model. …”
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