Impact of Multivariate Background Error Covariance on the WRF-3DVAR Assimilation for the Yellow Sea Fog Modeling by Xiaoyu Gao, Shanhong Gao

“…Statistical verification metrics including probability of detection (POD) and equitable threat scores (ETS) of forecasted sea fog area are computed and compared for simulations with the implementations of CV5 and CV6 in the WRF-3DVAR system. …”
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Virtual Validation and Uncertainty Quantification of an Adaptive Model Predictive Controller-Based Motion Planner for Autonomous Driving Systems by Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Satyesh Shanker Awasthi, Michael Khayyat, Stefano Arrigoni, Francesco Braghin

“…In the development and verification phases, simulations play a pivotal role in achieving this aim. …”
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Research on the Optimization of Automobile Plastic Front Frame Structure by Lu Wang, Lingfeng Tang, Peng Wu, Jiaqi CHEN

“…The front-end frame was extracted and the mid-plane was repaired by HyperMesh, the complete mid-plane was meshed, loads and properties were added to the mesh, the front-end frame was subjected to static and modal analysis in the OptiStruct module, and the stiffness and intrinsic frequency were verified. …”
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Distributed wireless power transfer based on secondary-side-direct-series topology for integration with building-attached photovoltaic system by Zhecheng Zhang, Hao Chen, Wanying Weng, Yuanpeng Chen, Jiande Wu, Xiangning He

“…The proposed system is validated through simulations, and an 850 W prototype system is developed for experimental verification, achieving an efficiency of over 85%.…”
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A Magnetotelluric Signal Acquisition and Monitoring System Based on a Cloud Platform by Qi Luo, Weibin Sun, Rujun Chen, Xiaoli Mi, Hongchun Yao

“…The hardware part of the system adopts a multi-module collaborative design, including signal conditioning circuits, FPGA control modules, DSP processing units, and embedded subsystems, achieving high-precision acquisition and processing of magnetotelluric signals. …”
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Pendidikan Lingkungan dalam Novel Dari Rahim Ombak Karya Tison Sahabuddin Bungin by Nanda Ananto, Juanda, Suarni Syam Saguni

“…This research can be used as teaching material by designing a module or teaching material based on the analysis of the novel Dari Rahim Ombak which links the theme of environmental education, then taught through discussions, text analysis assignments, and environmental awareness-based projects in high school and college classes. …”
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Optimization method for remaining life prediction of conventional circuit breaker based on deep learning by SUN Shuguang, WEI Shuo, WANG Jingqin, SHAO Xu, SUN Liang, GAO Hui

“…Then, the feature attention convolutional neural network (FACNN) is introduced for life prediction, and the feature attention module is embedded in the one-dimensional convolution layer to optimize the ability of neurons to capture key state information. …”
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Operation Optimization Strategy of Commercial Combined Electric Heating System Based on Particle Swarm Optimization Algorithm by WANG Qing, LI Congcong, WANG Pingxin, WU Qingqing, CAI Xiaoyu

“… In order to improve the energy efficiency of the electric heating system, a particle swarm optimization (PSO, Particle Swarm Optimization)-based operation optimization strategy for the direct storage combined electric heating system is proposed.A mathematical model of influencing factors inside and outside the walls of electric heating buildings is established, and the simulink toolbox in matlab is used to build the overall system under the premise of determining the quantity of electric heating.Combining demand response ideas, the objective function is to establish the minimum heating and electricity cost of the user, and different sub-modules are selected to form the control module to achieve simulation verification, and the inverse cosine method is used to update the improved particle swarm algorithm to update the learning factor to solve the set objective function.Finally, through a calculation example of electricity consumption data of an enterprise in Jinan, Shandong, comparing energy consumption and economy can be obtained: the total energy consumption throughout the day is lower than the actual energy consumption, and the electricity bill is reduced by 17.16% compared with the unoptimized time.…”
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An On-Machine Measuring Apparatus for Dimension and Form Errors of Deep-Hole Parts by Jintao Liang, Xiaotian Song, Kaixin Wang, Xiaolan Han

“…Based on the axial-section measurement principle, an integrated measuring module was designed, including a self-centering mechanism, a diameter measuring sensor, and a positioning reference sensor, all embedded within a control system. …”
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MSTD: A Multi-Scale Transformer-Based Method to Diagnose Benign and Malignant Lung Nodules by Xiaoyu Zhao, Jiao Li, Man Qi, Xuxin Chen, Wei Chen, Yongqun Li, Qi Liu, Jiajia Tang, Zhihai Han, Chunyang Zhang

“…To make full use of these features, we then introduce a multi-scale transformer fusion (MSTF) module to integrate the information obtained at different scales. …”
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CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network by Qingyang Chen, Hong Lin, Zhenping Qiang, Hui Liu, Kaifan Ji, Zhenhong Shang

“…The network comprises a multiscale feature extraction module and a coarse-to-fine global optical flow calculation module. …”
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Conveyor belt deviation identification algorithm based on anchor point positioning and cross-layer correction by Zhe WANG, Zhe FU, Pengjun CAO, Qing LI, Gaoxiang ZHANG

“…Firstly, the anchor points of the conveyor belt edge lines are defined, and the position information of these anchor points is embedded into the self-attention module and the cross-attention module respectively. …”
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The Talent Cultivation Model of Study Travel Majors in Universities Based on the Internet of Things and Deep Learning by Yanjie Zhan

“…Moreover, the introduction of the sentiment analysis module enables the precise detection of students’ emotional changes during the learning process, achieving an accuracy rate of 0.91. …”
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Exploring Multi-Agent Debate for Zero-Shot Stance Detection: A Novel Approach by Junxia Ma, Changjiang Wang, Lu Rong, Bo Wang, Yaoli Xu

“…A knowledge enhancement module supplements the original tweet and target with relevant background knowledge, providing richer contextual support for argument generation. …”
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Long-Range LiDAR Vehicle Detection Through Clustering and Classification for Autonomous Racing by Na-Young Lim, Tae-Hyoung Park

“…Finally, range-view-based verification is performed to refine and finalize detection results, ensuring high reliability. …”
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Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation by N.S. Davydov, V.V. Evdokimova, P.G. Serafimovich, V.I. Protsenko, A.G. Khramov, A.V. Nikonorov

“…A procedure for generating a synthetic dataset for training and a module for automated labeling of real data is developed. …”
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Study of the Possibility to Combine Deep Learning Neural Networks for Recognition of Unmanned Aerial Vehicles in Optoelectronic Surveillance Channels by Vladislav Semenyuk, Ildar Kurmashev, Dmitriy Alyoshin, Liliya Kurmasheva, Vasiliy Serbin, Alessandro Cantelli-Forti

“…The authors implemented training, verification, and testing of the neural networks exploiting PyCharm 2024 IDE. …”
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Measured spectrum environment map dataset with multi-radiation sources in urban scenariosMendeley Data by Haotian Zou, Qiuming Zhu, Qianhao Gao, Jie Wang, Zhipeng Lin, Yang Huang, Qihui Wu, Weizhi Zhong

“…Its applications include the verification of spectrum map completion algorithms, wireless channel modelling, deep learning-driven signal prediction, and the optimization of Wi-Fi/cellular networks.…”
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An Extendable and Deflectable Modular Robot Inspired by Worm for Narrow Space Exploration by Shufeng Tang, Jianan Yao, Yue Yu, Guoqing Zhao

“…Unlike motor-driven robots, the earthworm-inspired robot achieves extension and deflection in each module through “on–off” control of the SMA springs, utilizing the cooperation of mechanical skeletons and gears to avoid posture redundancy. …”
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Grape Target Detection Method in Orchard Environment Based on Improved YOLOv7 by Fuchun Sun, Qiurong Lv, Yuechao Bian, Renwei He, Dong Lv, Leina Gao, Haorong Wu, Xiaoxiao Li

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