Multi-satellite cooperative beam hopping resource allocation based on interference perception by Jinlong HU, Jihong LIU, Yiqing ZHOU, Huan CAO, Zifan LIU, Jiawei ZHAO, Jinhong YUAN

“…Beam hopping (BH) technology is one of effective ways to solve limitation of beam resources and enhance the system coverage ability of low earth orbit (LEO) satellite systems.Existing research typically considers beam hopping resource allocation for a single LEO satellite, however, the actual LEO system is covered by multiple satellites in multiple orbits, and existing research ignores beam interference between satellites, which can easily lead to a decrease in system throughput and service quality.To address these issues, this paper designs an interference aware cooperative resource allocation for LEO with beam hopping (IARA-BH), aiming to maximize the beam service satisfaction (BSS).A BH resource allocation scheme by multi satellite interference coordination based on simulated annealing algorithm (MSIC-SAA) is proposed to solve the optimization problem.Simulation experiments show that compared to beam hopping resource allocation schemes that only consider a single satellite, the BSS of the MSIC-SAA algorithm has been improved by 47.24%, the average signal to interference noise ratio (SINR) has been improved by 27.40%, and the system throughput has been improved by 22.92%.…”
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Level Set Method for Positron Emission Tomography by Tony F. Chan, Hongwei Li, Marius Lysaker, Xue-Cheng Tai

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Estimation of smooth vector fields on manifolds by optimization on Stiefel group by E.N. Abramov, Yu.A. Yanovich

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Redefining the high variable genes by optimized LOESS regression with positive ratio by Yue Xie, Zehua Jing, Hailin Pan, Xun Xu, Qi Fang

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A model study of teaching method reform of computer laboratory course integrating internet of things technology. by Xiao Zhou, Ledan Qian, Haider Aziz, Marvin White

“…For this reason, this paper proposed a pedagogical model of face recognition for IoT devices based on edge computing (TFREC). Specifically, this research first proposed an IoT service-based face capture algorithm to optimize the accuracy of face recognition. …”
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Truthful incentive mechanism for “digital currency”based on privacy protection by Xiao CHEN, Xinran LYU, Zhi LIU

“…Many national central banks have conducted legal digital currency research based on distributed ledger technology,but only the UK has disclosed the accounting structure of the legal digital currency framework RSCoin,and the incentive mechanisms was proposed to encourage mintettes to provide honest collaborative accounting services.However,this mechanism does not take into account the differential service costs of mintettes,nor does it give a definite compensation distribution.The privacy costs of the mintettes were fully considered,the incentive model of the central bank and mintettes were established,and the methods were clarified to compensate mintettes.In the legal digital currency research area,an incentive mechanism POPTIM was proposed firstly,that not only protects the private cost of the mintettes,but also guarantees the mintettes report their truthful bidding prices to the central banks.POPTIM first encrypts the biddings of mintettes by coding hash encryption method,then adopts privacy-preserving sorting algorithm to select the winner mintettes,and finally calculates the reward of mintettes based on the homomorphic addition algorithm.The analysis shows that the mechanism is privacy security,computationally efficient,individually rational and truthful simultaneously.…”
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A comparative structural module study of Balla Lompoa and Ba’anjung by Fermanto Lianto, Denny Husin, Rudy Trisno

“…The steps are 1) Architectural redrawing, 2) Module extraction, and 3) Algorithm pattern. The output is an architectural algorithm as the patterns. …”
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Identification of Perceptual Phonetic Training Gains in a Second Language Through Deep Learning by Georgios P. Georgiou

“…Results: The results demonstrated good model performance across a range of metrics, confirming that learners’ gains in phonetic training could be effectively detected by the algorithm. Conclusions: This research underscores the potential of deep learning techniques to track improvements in phonetic training, offering a promising and practical approach for evaluating language learning outcomes and paving the way for more personalized, adaptive language learning solutions. …”
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A Direct Attitude Determination Approach Based on GPS Double-Difference Carrier Phase Measurements by Jianhua Cheng, Jing Wang, Lin Zhao

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RS-DRL-based offloading policy and UAV trajectory design in F-MEC systems by Yulu Yang, Han Xu, Zhu Jin, Tiecheng Song, Jing Hu, Xiaoqin Song

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Detection of the Pin Defects of Power Transmission Lines Based on Improved TPH-MobileNetv3 by Mengxuan Li, Jingshan Han, Zhi Yang, Bin Zhao, Peng Liu

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The Principles of Examination of Patients with Detected Melanoma Suspected Skin Neoplasm in the Primary Health Care Stage by V. N. Larina, T. A. Gaydina, A. S. Dvornikov, K. E. Nazimkin

“…The significance of the criteria of the ABCDE algorithm, the “Argenziano” algorithm in the study of pigmented skin lesions with further analysis of the results by artificial intelligence for decision-making is discussed.…”
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A High-Resolution Gridded Dataset for China’s Monthly Sectoral Water Use by Yuqian Zhang, Yunhe Yin, Mijia Yin, Xufang Zhang

“…Abstract High-quality water use datasets are essential for advancing water resources research in changing environment. However, existing Chinese water use data, typically aggregated by administrative boundaries or watersheds, lack sufficient spatial and temporal resolution. …”
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High-Resolution Collaborative Forward-Looking Imaging Using Distributed MIMO Arrays by Shipei Shen, Xiaoli Niu, Jundong Guo, Zhaohui Zhang, Song Han

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Substation Equipment Defect Detection Based on Improved YOLOv8 by Yiwei Sun, Xiangran Sun, Ying Lin, Yi Yang, Zhuangzhuang Li, Lun Du, Chaojun Shi

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The Optimal Dispatch for a Flexible Distribution Network Equipped with Mobile Energy Storage Systems and Soft Open Points by Yu Ji, Ying Zhang, Lei Chen, Juan Zuo, Wenbo Wang, Chongxin Xu

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Study on Trajectory Optimization for a Flexible Parallel Robot in Tomato Packaging by Tianci Guo, Jiangbo Li, Yizhi Zhang, Letian Cai, Qicheng Li

“…To improve the efficiency of the tomato packaging process, a hybrid algorithm combining particle swarm optimization (PSO) and genetic algorithms (GA) was developed to optimize the operation time of the parallel robot. …”
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Bayesian network structure learning by opposition-based learning by Baodan Sun, Xinyi Zhang, Junhui Jiang, Jianguang Gong, Dan Lin

“…Experimental results show that the proposed algorithm achieves better performances than other state-of-the-art structure learning algorithms when the sample size is 500. …”
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Adaptive robust position control scheme for an electromagnetic levitation system with experimental verification. by Ziwei Wu, Kuangang Fan, Ping Yi

“…This work takes the single point electromagnetic levitation ball system as the research object to address the above-mentioned issues. …”
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Automatic Segmentation of Plants and Weeds in Wide-Band Multispectral Imaging (WMI) by Sovi Guillaume Sodjinou, Amadou Tidjani Sanda Mahama, Pierre Gouton

“…Semantic segmentation in deep learning is a crucial area of research within computer vision, aimed at assigning specific labels to each pixel in an image. …”
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