Small sample data pricing research based on Reptile algorithm by Junxin Shen, Yi Yang, Fanghao Xiao

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ATO Controller Research Based on Predictive Fuzzy Control Algorithm by LIU Jiazheng, XU Juan

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EPS Current Tracking Method Research Based on Hybrid Sensitivity H∞ Control Algorithm by Hairong Wu, Guangfei Xu, Jian Wu, Xue Han, Jiwei Feng, Shifu Liu, Linglong Bu

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PAD-SA: a method for predicting the turnover of scientific researchers based on ADASYN-Stacking algorithm by Tianyi Zhang, Jing Yang, Ru Liu, Qiyuan Feng

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RSM-YOLOv11: Lightweight Steel Surface Defect Segmentation Algorithm Research Based on YOLOv11 Improvement by Zenghai Shan, Hu Haoyan, Changjian Zhu, Shaowen Du, Hongtao Jing, Wang Haibin

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EAD-YOLOv10: Lightweight Steel Surface Defect Detection Algorithm Research Based on YOLOv10 Improvement by Hu Haoyan, Tong Jinwu, Wang Haibin, Lu Xinyun

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Cross-social-network user alignment research based on multi-dimensional user features by Tao Zhao, Heng Gao, Zecheng Wang, Dianjie Bi, Xuemin Chen

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Causality research based on phase space reconstruction. by Lei Hu, Zhuoma Sunu, Hongke She, Binghuai Fan, Jingru Ma, Chaojiu Da

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Building Thermal Comfort Research Based on Energy-Saving Concept by Feiran Xue, Jingyuan Zhao

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Double array system identification research based on LSTM neural network by Chunhua Gao, Mingyang Wang, Yifei Sima, Zihan Yuan

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Satisfaction with Research-Based Learning and Academic Performance by Big Data Analysis by Gabriela Torres-Delgado, Sofía Ramos-Pulido, Neil Hernández-Gress

“…Data science analysis was used to investigate the association between Research-Based Learning (RBL) and student’s academic performance. …”
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The Aero-Engine Component-Level Modelling Research Based on NSDE Hybrid Damping Newton Method by Chen Wang, Ximing Sun, Xian Du

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Short-term traffic flow prediction research based on ICEEMDAN-MPE-PSO-DELM model by Xiujuan Tian, Jinyong Ding, Huanying Liu, Xue Xing, Jiaojiao Liu

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Electric vehicle path optimization research based on charging and switching methods under V2G by Haoran Liu, Aobei Zhang

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Multi-Objective Optimization Research Based on NSGA-II and Experimental Study of Triplex-Tube Phase Change Thermal Energy Storage System by Yi Zhang, Haoran Yu, Yingzhen Hou, Neng Zhu

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Pavement crack identification method based on IOtsu-Dd algorithm. by Yang Yang, Lin Wang, Qinghua Xiong

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Neighbor satellite load based low orbit satellite distributed routing algorithm by Mingchuan YANG, Guanchang XUE, Qingyi LI

“…Satellites are highly flexible and maneuverable, and they are not easily affected by ground factors, which has led to the rapid development of space satellite technology.Satellite networks always have load congestion problem as the load increases, making routing algorithms a core issue in the field of satellite network research.Based on the problems of congestion mitigation, signaling overhead, and algorithm complexity, the distributed routing algorithm for local load balancing of LEO (low earth orbit) satellite networks was deeply studied.The network model was constructed based on the Iridium satellite system and a distributed routing algorithm based on the load status of neighbor satellite (DRNL) was proposed, which included such as load status update of neighbor nodes, load balancing and routing decision.It had a certain degree of portability and could adapt to other polar or near polar orbit constellation.The simulation results based on the OPNET show that the DRNL can better adapt to the heavier network loads state, alleviate satellite congestion, obtain lower delay and packet loss.…”
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Neighbor satellite load based low orbit satellite distributed routing algorithm by Mingchuan YANG, Guanchang XUE, Qingyi LI

“…Satellites are highly flexible and maneuverable, and they are not easily affected by ground factors, which has led to the rapid development of space satellite technology.Satellite networks always have load congestion problem as the load increases, making routing algorithms a core issue in the field of satellite network research.Based on the problems of congestion mitigation, signaling overhead, and algorithm complexity, the distributed routing algorithm for local load balancing of LEO (low earth orbit) satellite networks was deeply studied.The network model was constructed based on the Iridium satellite system and a distributed routing algorithm based on the load status of neighbor satellite (DRNL) was proposed, which included such as load status update of neighbor nodes, load balancing and routing decision.It had a certain degree of portability and could adapt to other polar or near polar orbit constellation.The simulation results based on the OPNET show that the DRNL can better adapt to the heavier network loads state, alleviate satellite congestion, obtain lower delay and packet loss.…”
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Research on FTTR WLAN indoor wireless location algorithm based on frequency response by Zhifeng LONG, Jing ZHANG

“…Highly accurate and reliable indoor wireless positioning services have been widely used.In order to obtain good positioning accuracy, the design of positioning algorithms needs to be matched with wireless positioning facilities.fiber to the room (FTTR) is an indoor access network solution based on IEEE 802.11 ax, a new generation of wireless local area network (WLAN) standard.Compared with the existing Wi-Fi networks, FTTR has a much larger available band width.However, FTTR WLAN also lacks of a public valid data set to support localization functions, which makes the localization research based on FTTR scenarios face huge obstacles.In order to solve the above problems, firstly, a frequency response-based FTTR scene dataset generation method was proposed, which uses the existing Wi-Fi localization dataset to generate the frequency response matrix within the available band width of FTTR.Then, the parallel path principal component analysis (PCA) method was used to generate the classification matrix.And the generated dataset was trained using a fully connected neural network to improve the accuracy.The experimental results on the real measurement dataset show that the proposed localization algorithm can achieve a localization accuracy of less than 1 m, which is not only more accurate than the traditional location estimation algorithm, but also basically meets the fine-grained localization requirements for practical applications.…”
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Research on FTTR WLAN indoor wireless location algorithm based on frequency response by Zhifeng LONG, Jing ZHANG

“…Highly accurate and reliable indoor wireless positioning services have been widely used.In order to obtain good positioning accuracy, the design of positioning algorithms needs to be matched with wireless positioning facilities.fiber to the room (FTTR) is an indoor access network solution based on IEEE 802.11 ax, a new generation of wireless local area network (WLAN) standard.Compared with the existing Wi-Fi networks, FTTR has a much larger available band width.However, FTTR WLAN also lacks of a public valid data set to support localization functions, which makes the localization research based on FTTR scenarios face huge obstacles.In order to solve the above problems, firstly, a frequency response-based FTTR scene dataset generation method was proposed, which uses the existing Wi-Fi localization dataset to generate the frequency response matrix within the available band width of FTTR.Then, the parallel path principal component analysis (PCA) method was used to generate the classification matrix.And the generated dataset was trained using a fully connected neural network to improve the accuracy.The experimental results on the real measurement dataset show that the proposed localization algorithm can achieve a localization accuracy of less than 1 m, which is not only more accurate than the traditional location estimation algorithm, but also basically meets the fine-grained localization requirements for practical applications.…”
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