Optimal Operation Scheme with Short-Turn, Express, and Local Services in an Urban Rail Transit Line by Tao Feng, Siyu Tao, Zhengyang Li

“…A real-life case study in Chengdu, China, is performed to demonstrate the effectiveness and efficiency of the proposed model and algorithm.…”
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Research on Stratum Identification Method Based on TBM Tunneling Characteristic Parameters by Wei Wu, Jingbo Guo, Jie Li, Ji Sun, Haoran Qi, Ximing Chen

“…By analyzing the correlation between TBM tunneling characteristic parameters and stratum, the tunneling characteristic parameter vector which is most sensitive to the stratum is obtained by sensitivity analysis, and the stratum recognition model based on the K-nearest neighbor algorithm is established. Aiming at the problem that the model has a large error in complex formation recognition, a formation recognition model based on the entropy weight K-nearest neighbor algorithm is established, and the wrong data of the K-nearest neighbor model is recalculated. …”
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Theoretical understanding of gradients of spike functions as boolean functions by DongHyung Yoo, Doo Seok Jeong

“…Abstract Applying an error-backpropagation algorithm to spiking neural networks frequently needs to employ fictive derivatives of spike functions (popularly referred to as surrogate gradients) because the spike function is considered non-differentiable. …”
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Research and DSP Implementation of Speech Enhancement Technology Based on Dynamic Mixed Features and Adaptive Mask by Jie Yang, Yachun Tang

“…Finally, the hardware and algorithm software design of the DSP-based speech enhancement system is given. …”
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A New Image Encryption Method Using an Optimized Smart Codebook by Rami Sihwail, Dyala Ibrahim

“…The best codebooks are selected to create the encrypted image in the next stage. Finally, the RSA algorithm sends the recipient the code books with the cipher image. …”
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Efficient routing strategy of blockchain-based payment channel network by Ru HUO, Dong NI, Hua LU, Yunfeng XIA, Shuo WANG, Tao HUANG, Yunjie LIU

“…In order to solve the problems of the low transaction success rate and network imbalance of the payment channel network, an efficient routing strategy of blockchain-based payment channel network was proposed.This strategy established a dedicated payment channel for the high-priority services according to the service type and service priority, and divided the conventional business into multiple transaction unit.Furthermore, a channel balanced routing algorithm was designed to route each transaction unit, which could reduce the number of transactions on the blockchain and maintain long-term stable operation of the off-chain payment channel, as well as improve the transaction success rate.In addition, in order to avoid the temporary shortage of funds and unavailability of channels due to a certain link occupied by multiple transactions simultaneously, a transaction queuing mechanism in the payment channel network was designed.This mechanism established the forwarding rules for transactions by calculating the escrow amount between the node that transactions arrived and the next hop node, where the channel balanced routing algorithm was used to calculate the new forwarding path for the nodes that could not carry out capital injection within the queuing threshold.The simulation results show that the proposed strategy could improve the transaction success rate and realize the equilibrium of the payment channel network.…”
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Edge-assisted UAV onboard video compression and transmission for efficient inference of patrolling tasks by YANG Peng, LIANG Yuxin, KONG Yuxin, LIU Mingliu

“…To address the challenges from dynamic UAV trajectories and fluctuating network conditions, the RoIs collected by UAVs were properly choosen through an adaptive RoI box selection algorithm, followed by adaptive configuration of quantization parameters (QP) of video codec, in order to further compress the transmitted data volume. …”
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Concrete Crack Skeleton Analysis: A Machine Vision Approach to Feature Extraction by Rui Wang, Xinxin Guo, Jiaxuan Liu, Yu Wan

“…The test data show that the algorithm has good adaptability and the accuracy is higher than 90%. …”
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A distributed estimation method over network based on compressed sensing by Lin Li, Donghui Li

“…Then, the compressed estimations are reconstructed in full dimension form with a reconstruction algorithm. At last, the nodes update their estimations with normalized least mean square algorithm. …”
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Interleaved-LoRa Transmission Scheme for Satellite IoT by Jin LUO, Jiabao XIA, Yang BAI, Baoming BAI

“…The transmission distance of satellite IoT is much further than terrestrial IoT, resulting in a signifi cant power loss on the transmission link.Thus the received signal power at a receiver will be signifi cantly lower.Combining a high-performance FEC coding and LoRa modulation with a signifi cant spreading factor enables reliable communication at very low signal-to-noise ratios.However, LoRa modulation dramatically decrease spectral effi ciency as the spreading factor increases.An interleaved LoRa transmission scheme that could achieved high spectral effi ciency with a low bit error rate (BER) was proposed.Firstly, a non-coherent soft demodulation algorithm was presented for LoRa and the corresponding performance comparison with the use of Turbo and LDPC codes.Then proposed a soft demodulation algorithm for interleaved-LoRa transmission.Simulation results showed that Turbo coded interleaved-LoRa system outperformed the uncoded system by about 4 dB at a BER=10^-5, which was equivalently to a 55%~57% improvement on communication distance in free space.Furthermore, the spectral effi ciency was improved by approximately 23% compared to the existing Turbo-LoRa scheme.…”
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Differentiable architecture search-based automatic modulation recognition for multi-carrier signals by LI Jie, LI Jing, LYU Lu, GONG Fengkui

“…Simulation results demonstrate that the proposed algorithm improves accuracy in urban multipath channels, especially at low SNR, while simultaneously providing better robustness to modulation parameter variations and small-sample scenarios.…”
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New Robust Part-Based Model with Affine Transformations for Facial Landmark Localization and Detection in Big Data by Chentao Zhang, Habte Tadesse Likassa, Peidong Liang, Jielong Guo

“…In contrast to the existing works, the new algorithm incorporates affine transformations with the robust regression to tackle the potential effects of outliers and heavy sparse noises, occlusions and illuminations. …”
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Obstacle Avoidance Planning of Manipulator Joints Based on an Improved Artificial Potential Field Method by Yue Xu, Zhou Haibo, Shao Yanpeng, Lu Shuai, Xu Wangbei, Deng Yuxin

“…By adjusting the bias of the RRT algorithm, suitable temporary target points are generated to solve the local minima problem of the APF. …”
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Gaussian Function Fusing Fully Convolutional Network and Region Proposal-Based Network for Ship Target Detection in SAR Images by Peipei Zhang, Guokun Xie, Jinsong Zhang

“…Meanwhile, a fine detection algorithm uses the Gaussian function to fuse the confidence value of sea-land segmentation results and the coarse detection results. …”
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Multiobjective Optimization Design of Truss Antenna by Di Wu, Xiaofei Ma, Jinbao Chen, Chuanzhi Chen, Jiang Zhao, Kunyang Lin

“…In order to receive the optimal design of the truss structure, this paper adopts the multiobjective optimization algorithm based on an approximate model to optimize the tolerance model with random error. …”
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Research on heterogeneous data fusion and arithmetic optimization in multi-sensor systems by DING Kai, JIANG Chaoyue, TAO Ming, XIE Renping

“…Finally, the delay and energy consumption requirements of tasks were modeled, and the optimization problem of minimizing system cost was constructed under resource constraints, which was transformed into Markov decision process (MDP) and solved with deep deterministic policy gradient (DDPG) algorithm. Simulation experiments show that the proposed architecture and scheduling algorithm exhibit excellent performance in reducing both latency and energy consumption, and provide a new idea for efficient data fusion and arithmetic optimization in multi-sensor systems.…”
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Adaptive Oversampling via Density Estimation for Online Imbalanced Classification by Daeun Lee, Hyunjoong Kim

“…By generating synthetic minority samples using awKDE, the algorithm adaptively balances class distributions, ensuring robustness in evolving environments. …”
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Seismic Control of Tall Buildings Using Distributed Multiple Tuned Mass Dampers by Hamid Radmard Rahmani, Carsten Könke

“…The nondominated sorting genetic algorithm II (NSGA-II) method was improved by adding multivariant genetic operators and utilized to simultaneously study the optimum design parameters of the TMDs and the optimum placement. …”
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A Study on Early Warning of Financial Indicators of Listed Companies Based on Random Forest by Zilin Wang

“…However, there are still some shortcomings in the current research on financial early warning, for example, it still evaluates the scoring method or only uses a single model to participate in the construction of financial early warning algorithm. In view of the above problems, this study will mainly use the random forest method combined with the decision tree algorithm to study the financial early warning problem of listed companies in China. …”
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Wavelet Neural Network Using Multiple Wavelet Functions in Target Threat Assessment by Gaige Wang, Lihong Guo, Hong Duan

“…This paper proposes a wavelet mother function selection algorithm with minimum mean squared error and then constructs MWFWNN network using the above algorithm. …”
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