Improved Empirical Mode Decomposition Algorithm of Processing Complex Signal for IoT Application by Xianzhao Yang, Gengguo Cheng, Huikang Liu

“…To overcome this deficiency, this paper proposes an enhanced empirical mode decomposition algorithm for processing complex signal. Our work mainly focuses on two aspects. …”
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Research on Automatic Train Operation System Based on Fuzzy Adaptive PID Algorithm by ZHOU Ruilin, LEI Chengjian, LIU Ze, SU Huiliang

“…The traditional PID algorithm used in the currently existing automatic train operation system is limited due to fixed parameters, making it difficult to achieve excellent control effects in actual operation scenes featuring strong coupling and high nonlinearity, which is mainly attributed to difficulties in overcoming nonlinear disturbances.In light of this, this paper proposes an automatic train operation approach that relies on a fuzzy adaptive PID algorithm, which can adjust the PID parameters in real time according to the preset fuzzy rules, thus improving the PID controller's performance in speed tracking and leading to an improved train control effect. …”
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Control Algorithm for Renewable Energy Standalone System with Power Quality and Demand Management by Lingappa Jaklair, Guduri Yesuratnam, Pannala Mallikarjuna Sarma

“…The stability issues in such system are produced mainly due to unbalanced loading, distortion of load current and intermittent nature of renewable energy sources. …”
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Multi-AGV multitask collaborative scheduling based on an improved ant colony algorithm by Yazhen Zhu, Qing Song, Meng Li

“…Research on multitask scheduling systems in factory environments is a popular topic in the field of intelligent manufacturing. Existing research mainly focuses on the optimization of automated guided vehicle (AGV) path planning and scheduling, emphasizing on the minimization of conflicts and deadlocks, multi-objective task scheduling, and metaheuristic algorithm optimization, while ignoring path stability and real-time path planning in dynamic environments. …”
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Analysis of the synthetic periocular iris images for robust Presentation Attacks Detection algorithms by Jose Maureira, Juan E. Tapia, Claudia Arellano, Christoph Busch

“…Abstract The LivDet‐2020 competition focuses on Presentation Attacks Detection (PAD) algorithms, has still open problems, mainly unknown attack scenarios. …”
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Real-Time Recognition and Localization of Kiwifruit Based on Improved YOLOv5s Algorithm by Jin-Sui Dai, Zhi-Qin He

“…This study proposes a real-time Kiwifruit recognition and localization method based on an enhanced YOLOv5s algorithm combined with binocular vision technology. …”
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Determination of the Cascade Reservoir Operation for Optimal Firm-Energy Using Genetic Algorithms by Azmeri -, Iwan K, Hadihardaja -, Sri Legowo

“…This study aims to obtain energy production from Citarum Cascade Reservoir System using Genetic Algorithms optimization with the objective function to maximize firm-energy. …”
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A dynamic programming algorithm for generating chemical isomers based on frequency vectors by Ryota Ido, Naveed Ahmed Azam, Jianshen Zhu, Hiroshi Nagamochi, Tatsuya Akutsu

“…Abstract We propose a dynamic programming algorithm that generates chemical isomers of a given chemical compound with cycles. …”
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Euclidean Distance-Based Tree Algorithm for Fault Detection and Diagnosis in Photovoltaic Systems by Youssouf Mouleloued, Kamel Kara, Aissa Chouder, Abdelhadi Aouaichia, Santiago Silvestre

“…This method employs a novel Euclidean distance-based tree algorithm to classify various considered faults. Unlike the decision tree, which requires the use of the Gini index to split the data, this algorithm mainly relies on computing distances between an arbitrary point in the space and the entire dataset. …”
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Design and control algorithm of a motion sensing-based fruit harvesting robot by Ziwen CHEN, Yuhang CHEN, Hui LI, Pei WANG

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YOLO-DKM: A Flame and Spark Detection Algorithm Based on Deep Learning by Linpo Shang, Xufei Hu, Zijian Huang, Qiang Zhang, Zhiyu Zhang, Xin Li, Yanzuo Chang

“…Moreover, for some fire warning factors, the current focus is mainly on detecting smoke, while existing detection algorithms are still relatively lacking in detecting other warning factors. …”
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Analysis of algorithms for detecting traffic incidents on highways using stationary vehicle detectors by D. V. Navoi, D. V. Kapski, N. A. Filippova, I. N. Pugachev

“…Automatic algorithms refer to those algorithms that automatically identify an incident based on traffic flow data received from traffic detectors. …”
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Recognition of Augmented Frontal Face Images Using FFT-PCA/SVD Algorithm by Francis Ayiah-Mensah, Louis Asiedu, Felix O. Mettle, Richard Minkah

“…It was found that the average recognition rates for the FFT-PCA/SVD algorithm were the same (90%) when face images with missingness and augmented face images were used as test images, respectively. …”
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Improving the Processing Algorithm of Beijing MST Radar Power Spectral Density Data by Chen Ze, Tian Yufang, Lü Daren

“…To achieve this goal, the power spectral density data processing algorithms is improved mainly from two aspects including accurate noise level estimation and target signal recognition. …”
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Trisomy 21 screening with αlpha software and the Fetal Medicine Foundation algorithm by L Pistorius, C A Cluver, I Bhorat, L Geerts

“…Screening for trisomy 21 provides pregnant women with accurate risk information. Different algorithms are used to screen for trisomy 21 in South Africa (SA). …”
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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…Automatic picking equipment combined with computer vision often uses object detection algorithms to identify objects, and object detection algorithms can be divided into both traditional algorithms and deep learning-based object detection algorithms. …”
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Cooperative Scheduling of Imaging Observation Tasks for High-Altitude Airships Based on Propagation Algorithm by He Chuan, Qiu Dishan, Liu Jin

“…Firstly, the task set is divided by using k-core neighborhood growth cluster algorithm (K-NGCA). Then, a novel swarm intelligence algorithm named propagation algorithm (PA) is combined with the key node search algorithm (KNSA) to optimize the cruising path of each airship and determine the execution time interval of each task. …”
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A GA-BP neural network algorithm for fault detection of transmission tower bolts by Ziqiang Lu, Pengjie He, Huiwei Liu, Jie Li, Ziying Lu

“…If not detected and addressed in a timely manner, serious adverse events, such as tower collapse, may occur which will endanger the normal operation of the power system.MethodsBased on this, in order to ensure the normal operation of the transmission tower and improve the identification effect of bolt loosening, the GP-BP neural network algorithm was applied to the detection process. The feasibility of this algorithm was evaluated through the quantitative analysis of different damage degrees.ResultThe results are as follows: 1) except for the average accuracy rate of substructure 7, which is 89.74%, the identification accuracy of other substructures is more than 90%, indicating that the GA-BP neural network algorithm is effective in identifying the single-damage degree of the tower bolt loosening in the main material; 2) the identification accuracy of double-damage substructure is also more than 90%, indicating that the GA-BP algorithm is effective in identifying the double-damage degree of the tower bolt loosening in the main material.ConclusionIn summary, it can be concluded that both the single- and double-damage degree conditions exhibit a relatively considerable recognition accuracy. …”
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Seismic Vulnerability Assessment of Reinforced Concrete Educational Buildings Using Machine Learning Algorithm by Tapan Kumar, Mohammad Al Amin Siddique, Raquib Ahsan

“…The main objective of this paper is to assess the vulnerability of reinforced concrete (RC) educational buildings in Dhaka city to seismic activity by utilizing machine learning (ML) algorithms. …”
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OPTIMAL DESIGN OF SUSPENSION SYSTEM BASED ON IMPROVED PARTICLE SWARM-TABOO SEARCH ALGORITHM by WANG Jun, TIAN ZhongXu

“…At the same time,the suspension system is proposed by the improved particle swarm optimization tabu search optimization algorithm with the decoupling rate of the main direction of the system excitation force as the optimization goal. …”
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