A Real-Time Optical Tracking and Measurement Processing System for Flying Targets by Pengyu Guo, Shaowen Ding, Hongliang Zhang, Xiaohu Zhang

“…This paper first designed and realized a distributed image interpretation and measurement processing system to achieve resource centralized management, multisite simultaneous interpretation and adaptive estimation algorithm selection; then proposed a real-time interpretation method which contains automatic foreground detection, online target tracking, multiple features location, and human guidance. …”
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Application Effect Analysis of the Mie Scattering Theory Based on Big Data Analysis Technology in the Optical Scattering Direction by Suting Chen

“…Under the assumed mathematical model of bubble group scattering, the scattered light intensity of wake can be measured experimentally, and then, the velocity, diameter, and density distribution of the bubble group can be calculated by using the mathematical inversion algorithm. The experimental results show that the diameter of the main bubbles in the bubble group is about 240, accounting for about 50% of the whole bubble group in number, the bubbles with a diameter of about 140 account for 24% of the whole bubble group, and the bubbles with a diameter of about 350 account for 24% of the whole bubble group. …”
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Muscle Strength Weighting Based on Deep Learning and Wavelet Packet and Muscle Fatigue Analysis Based on L-Z Complexity by Zhizhong Liu

“…The wavelet packet weighting algorithm makes the muscle strength and the weight-bearing well in line with the linear relationship, and the application of muscle strength map can better reflect the load of muscle. …”
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Artificial Intelligence-Based Prediction of Individual Differences in Psychological Occupational Therapy Intervention Guided by the Realization of Occupational Values by Hongmei Jin, Yu Pang, Xiaohui Du, Leilei Shi

“…Finally, the predicted results of different groups of employees were compared, revealing the effectiveness of our algorithm.…”
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A Novel Cuckoo Search Optimized Deep Auto-Encoder Network-Based Fault Diagnosis Method for Rolling Bearing by Jinyu Tong, Jin Luo, Haiyang Pan, Jinde Zheng, Qing Zhang

“…Finally, the cuckoo search algorithm (CS) is used to find the optimal hyperparameters automatically. …”
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Optimization and Performance Analysis of Rail-Train Coupling System with Inerters by Shichang Han, Xian Wang, Chunxi Yang, Guowei Xie, Zhongcheng Qiu, Chen Wang

“…Optimizations for only inertance and all suspension parameters are carried out by the particle swarm algorithm (PSO). Performance benefits for both the train and the rail system are demonstrated and suspension layouts with inerters connected in parallel and series are compared with the traditional one in both time domain and frequency domain.…”
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Induced spoofing detection method based on error valuation accumulation open-loop correction by Lunlong ZHONG, Jiongpo LIU, Yongyu LIU

“…Induced satellite spoofing interference can induce the aircraft to gradually deviate from the predetermined trajectory, and it is difficult to detect.So timely and effective detection of interference is the guarantee of flight safety.Based on the existing tightly integrated navigation system, an error valuation accumulation open-loop correction structure was designed.It was proved that the performance of the designed structure was equivalent to the performance of traditional tightly integrated navigation system with closed-loop correction.On the basis of designed structure, combining the tightly integrated navigation system with the adaptive sequential probability ratio test method, an induced spoofing detection method based on the error valuation accumulation open-loop correction was proposed.A spoofing detection statistic for induced spoofing detection was constructed by integrating the tightly integrated navigation information with other navigation information that was not affected by spoofing interference.Simulation results show that the designed open-loop correction structure can avoid the divergence problem of the integrated navigation filter caused by the inertial navigation system error accumulated over time.Moreover, the proposed spoofing detection method can improve the detection effect of the algorithm of the small induced spoofing under the “worst” case further.…”
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D2D cooperative caching strategy based on graph collaborative filtering model by Ningjiang CHEN, Linming LIAN, Pingjie OU, Xuemei YUAN

“…A D2D cooperative caching strategy based on graph collaborative filtering model was proposed for the problem of difficulty in obtaining sufficient data to predict user preferences in device-to-device (D2D) caching due to the limited signal coverage of base stations.Firstly, a graph collaborative filtering model was constructed, which captured the higher-order connectivity information in the user-content interaction graph through a multilayer graph convolutional neural network, and a multilayer perceptron was used to learn the nonlinear relationship between users and content to predict user preferences.Secondly, in order to minimize the average access delay, considering user preference and cache delay benefit, the cache content placement problem was modeled as a Markov decision process model, and a cooperative cache algorithm based on deep reinforcement learning was designed to solve it.Simulation experiments show that the proposed caching strategy achieves optimal performance compared with existing caching strategies for different content types, user densities, and D2D communication distance parameters.…”
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Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases by Pareza Alam Jusia, Abdul Rahim, Herti Yani, Jasmir Jasmir

“…In this research, a comparison was made of the performance of the PSO-based K-NN and C4.5 algorithms. Following experiments employing PSO optimization to improve the K-NN and C4.5 algorithms, the findings indicated that the K-NN algorithm performed exceptionally well with PSO, achieving an accuracy of 89.09%, precision of 89.61%, recall of 90.79%, and an AUC value of 0.935.…”
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Accurate identification of oxygen desaturation status in COPD by using classifier ensemble. by Yue-Fang Wu, Xin Shu, Shiqi Wang, Xiaojun Xu, Pei-Li Sun

“…In the proposed method, five different features of each data point from the time series of SpO2 and pulse are extracted and then combined to form the discriminative feature of the corresponding data point; then, multiple base classifiers with different balanced training subsets are trained and then integrated by using AdaBoost Algorithm. The comparative computational results on the 6-min walk test (6MWT) of the recruited participants show that the proposed method achieved the best global performance with AUC (Area Under Curve) value of 0.8532, indicating that the proposed method can be effectively used for the identification of EIOD and could assist the clinic diagnosis of COPD.…”
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Tourism Demand Forecasting Based on Grey Model and BP Neural Network by Xing Ma

“…Secondly, in the structure algorithm of the BP neural network, the BP neural network model is established using the data series of travel time and the number of people. …”
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Modern concept of treatment of biliary peritonitis complicated by abdominal sepsis (<i>Review of the literature</i>) by O. A. Tereshchenko, A. A. Botashev, Yu. V. Pomeschik, E. A. Petrosyan, V. I. Sergiyenko

“…Features of each method in algorithm of essential medical actions are stressed.Conclusion. …”
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Throughput optimization of multi-hop and multi-path cooperation in WPSNs with hardware noises by Lina Yuan, Huajun Chen, Jing Gong

“…To enhance the minimum achievable data rate, we propose a multi-hop communication protocol based on time-division-multiple-access and an optimal throughput path algorithm. We formulate the time allocation optimization problem about energy and information transmission of the proposed multi-hop cooperation, and confirm through abundant simulation experiments that the proposed scheme can availably improve user unfairness and spectral efficiency, and thus enhance its throughput performance.…”
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Optimization and Design of Wideband Antenna Based on Q Factor by Han Liu, Chengyou Yin, Weidong Gao, Yulong Sun

“…Firstly, the volume-surface integral equations (VSIEs) and self-adaptive differential evolution algorithm (DEA) are introduced as the basic theories to optimize antennas. …”
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Rough Set Approach for Group Evacuation Behavior Analysis in Passenger Transport Hub Area by Peng Chen, Xiaofeng Ma, Shunying Zhu

“…In the approach, improved tabu search-based attribute reduction is proposed to find the minimal subset of attributes required to fully describe the information of group evacuation decision-making, and value reduction algorithm based on knowledge granulation is used to generate rules of group evacuation decision-making. …”
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Cloud-Assisted Scalable Video Delivery Solution over Mobile Ad Hoc Networks by Lujie Zhong, Shijie Jia

“…A novel supplier scheduling algorithm that assigns resource suppliers for fast responding user request in terms of their load and serving capacity is proposed. …”
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Compressed Sensing Based on the Characteristic Correlation of ECG in Hybrid Wireless Sensor Network by Weiwei Li, Ting Jiang, Ning Wang

“…Experimental results show that its recovery quality is better than some existing CS-based ECG compression algorithms and sufficient for practical use.…”
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Enhancing Railway Maintenance Safety Using Open-Source Computer Vision by Donghee Shin, Jangwon Jin, Jooyoung Kim

“…A recognition and detection algorithm for railway signs, tracks, and maintenance workers was constructed to improve the accuracy of the developed prevention system.…”
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Development and application of machine learning models in US consumer price index forecasting: Analysis of a hybrid approach by Yunus Emre Gur

“…The data were combined with key economic indicators of the US, and the hyperparameters of the forecasting models were optimized using genetic algorithm and Bayesian optimization methods. According to the VAR model results, variables such as past values of CPI, oil prices (OP), and gross domestic product (GDP) have strong and significant effects on CPI. …”
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A Crude Oil Spot Price Forecasting Method Incorporating Quadratic Decomposition and Residual Forecasting by Yonghui Duan, Ziru Ming, Xiang Wang

“…Additionally, this work proposes to optimize the support vector regression model (SVR) by the seagull optimization algorithm (SOA). Ultimately, the empirical investigation created the feature-variable system and predicted the filtered features. …”
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