Search Results - loading computing

A novel robotic reaching task to advance the assessment of approach-avoidance tendencies through kinematic analysis by Park, Kayne, Boisgontier, Matthieu P.

“…The investigation of approach-avoidance tendencies has traditionally relied on computer-based technologies that primarily characterise human behaviour through reaction times. …”
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Solving the 3D Multi-Objective Dynamic AUV Path Planning Problem Based on the Improved Morphin-Altruistic NSGAII Algorithm by Man Zhang, Jianhong Chen, Haibin Ouyang, Shangbin Long, Steven Li, Chunliang Zhang, Weiping Ding, Essam H. Houssein

“…An enhanced path collision detection mechanism is also designed. (2) The ANSGAII, inspired by altruism in animal populations, is proposed to enhance optimisation efficiency and reduce computational load by transferring update opportunities from the weak to the strong individuals. (3) The best path is selected based on weighted criteria, and the Morphin algorithm is utilised to timely get around dynamic dangers. …”
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Photovoltaic Farm Power Generation Forecast Using Photovoltaic Battery Model with Machine Learning Capabilities by Agboola Benjamin Alao, Olatunji Matthew Adeyanju, Manohar Chamana, Stephen Bayne, Argenis Bilbao

“…Existing models often lack predictive accuracy, computational efficiency, and adaptability to changing environmental conditions. …”
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A modification design method for the angular misalignment of the spline drum shaping by YUAN Xichuan, LIU Qi, TANG Jinyuan, LI Yuan, SU Hui

“…Computational samples were generated by setting varying modification amounts, revealing the correlation between maximum contact stress (<italic>P</italic>_max) and tooth surface modification. …”
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Comparative Evaluation of the Defocus Curve of Monofocal IOL, Extended Depth of Focus IOL, and Trifocal IOL by M. E. Konovalov, A. V. Morenko

“…DC was performed binocularly based on a standard BCVA measurement with an optical load for defocusing from +3.0 D to -4.0 D with a “step” of +1.0 D and -0.5 D. …”
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Multi-Agent Deep Reinforcement Learning for Scheduling of Energy Storage System in Microgrids by Sang-Woo Jung, Yoon-Young An, BeomKyu Suh, YongBeom Park, Jian Kim, Ki-Il Kim

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Experimental Study on Compressive Capacity Behavior of Helical Anchors in Aeolian Sand and Optimization of Design Methods by Qingsheng Chen, Wei Liu, Linhe Li, Yijin Wu, Yi Zhang, Songzhao Qu, Yue Zhang, Fei Liu, Yonghua Guo

“…To precisely predict the compressive bearing behavior of helical anchors in aeolian sand, this study integrates in situ testing with finite element numerical analysis to systematically elucidate the non-linear evolution of its load-bearing mechanisms. The XGBoost algorithm enabled the rigorous quantification of the governing geometric features of compressive capacity, culminating in a computational framework for the bearing capacity factor (<i>N</i>_q) and lateral earth pressure coefficient (<i>K</i>_u). …”
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Battery Energy Storage System Contribution to Primary Frequency Control in Isolated Power Systems by Muhammad Asad, Giulia Tresca, Pericle Zanchetta, Jose Angel Sanchez-Fernandez

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Star-YOLO: A Lightweight Real-Time Wheat Grain Detection Model for Embedded Deployment by Zhihang Qu, Xiao Liang, Sicheng Liang, Xiumei Guo

“…The model employs StarNet to refine the C3k2 structure, reducing computational complexity without compromising detection accuracy, and integrates the MBConv module into the detection head to boost feature extraction while further minimizing computational load. …”
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Comprehensive Signal Modeling for Talkative Power Conversion by Jan Mietzner, Cerikh Chakraborty, Peter A. Hoeher, Lutz Lampe

“…Despite numerous research papers published over the last decade on various theoretical and practical aspects of this emerging topic, thorough signal modeling suitable for analysis, computer simulations, and the development of suitable receiver architectures is still lacking. …”
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Resource Time Series Analysis and Forecasting in Large-Scale Virtual Clusters by Yue Lin, Jiamin Wen, Xudong Zhang, Yan Liang, Jianjiang Li

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Performance Evaluation of RSA Variants For Network Security Using SIP by Maan Alfathi, Ali AL-ALLAWEE

“…The experiment reveals that when applying 1000 calls, the RSA standard consumes the highest CPU percentage. The decryption computations during the inbound calls scenario result in extra CPU usage for the three algorithms. …”
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A Multimodal Neurophysiological Approach to Evaluate Educational Contents in Terms of Cognitive Processes and Engagement by Vincenzo Ronca, Pietro Aricò, Luca Tamborra, Antonia Biagi, Gianluca Di Flumeri

“…Key neurophysiological metrics, such as engagement and Human Distraction Index (HDI), were computed and compared across conditions. Results: Our findings indicate that video-based learning materials, particularly educational videos with visual enhancements, elicited higher engagement and lower cognitive load compared to text-based learning. …”
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Simulation and research of battery simulator based on sliding mode control by Hu Xia, Cao Wenzhang, Dai Yuanyuan

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Coded Caching: User to Access Points Distribution in Wireless Local Area Networks by Mirna Haidar, Yasser Fadlallah, Hadi Sawaya, Abed Ellatif Samhat

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Analysing and Forecasting the Energy Consumption of Healthcare Facilities in the Short and Medium Term. A Case Study by Ali Koç, Serap Ulusam Seçkiner

“…The results displayed that the two ensemble models, Extreme Gradient Boosting and Random Forest, outperformed single models in hourly, daily, and monthly energy load prediction. Nevertheless, when considering the computational time for all regression models, the single models have better computational times, although the error metrics are not as good as for the ensemble models. …”
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Enhanced model predictive current framework for a PMSM powered by three-level NPC inverters with DC-link voltage self-balancing mechanisms by Kim-Anh Nguyen, L.D. Hieu, Viet-Tuan Pham, Van-Quang-Binh Ngo

“…The suggested approach achieves performance levels similar to traditional methods regarding settling time for speed, current ripple, and harmonic distortion of the current, all while decreasing the computational load by 30%. Compared to the prior method, capacitor voltage balancing is guaranteed under all operating conditions, particularly at low speeds. …”
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Maximum Torque per Ampere Control of PMSMs Using Real-Time Numerical Optimization by Yong Xu, Min-Yi Lin, Wen-Jie Wan, Yunchong Wang, Jian-Xin Shen

“…The proposed gradient projection descent (GPD) method was introduced as a computationally efficient solution that is specifically tailored for real-time applications. …”
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Parameter Estimation for Three-Phase Induction Motor Based on Performance Curves and Differential Evolution by Marcelo F. Castoldi, Gustavo Henrique Bazan, Wesley A. Souza, Clayton L. Graciola, Rafael M. Silva, Alessandro Goedtel

“…Furthermore, the study includes a comparative analysis that includes seven evolutionary algorithms, focusing on solution distribution, computational complexity, and convergence characteristics. …”
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Dynamic Performance Analysis of High-Frequency Signal Injection Based Sensorless Methods for Interior Permanent Magnet Synchronous Motors by Ahmadreza Alaei, Dong Hee Lee, Jin woo Ahn, Sayed Morteza Saghaeian Nejad

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