Transit Station Congestion Index Research Based on Pedestrian Simulation and Gray Clustering Evaluation by Shu-wei Wang, Li-shan Sun, Jian Rong, Zi-fan Yang

“…Taking pedestrian density as basic data and gray clustering evaluation as algorithm, an index called Transit Station Congestion Index (TSCI) was constructed to reflect the congestion degree of transit stations. …”
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Coupled variable‐input LCG and clock divider‐based large period pseudo‐random bit generator on FPGA by Mangal D. Gupta, Rajeev K. Chauhan

“…To prevent the system from falling into short‐period orbits as well as increasing the randomness of the generated bit sequences, the proposed algorithm periodically changes the seed parameters of the LCG blocks. …”
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Task Grid-Based Urban Environmental Information Release Mechanism for Mobile Crowd Sensing by Zhenwei Chen, Yang Lu, Zusong Li, Xiancun Zhou

“…For the sensing data, through an efficient data fusion algorithm designed in this study, the sensing information is fused to obtain the fine-grained environmental information of different task grids in the area. …”
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A novel sea surface evaporation scheme assessed by the thermal rotating shallow water model by Masoud Rostami, Stefan Petri, Bijan Fallah, Farahnaz Fazel‐Rastgar

“…The model is tested across different seasons to assess its reliability under various weather conditions. The Dedalus algorithm, which handles spin‐weighted spherical harmonics, is employed to address the pseudo‐spectral problem‐solving tasks of the model.…”
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Automatic Estimation of Solar Rooftops and Power Generation From Publicly Available Satellite Imagery Through Georeferencing and Large-Scale Support by John Sullivan, Apichon Witayangkurn

“…The detection results were post-processed through polygonization and smoothing using the Douglas-Peucker algorithm. Panel size and power generation were then calculated and attached as attributes. …”
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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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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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