Jing Peng

I2M: a box-based detection framework for molecular structure recognition from images

Bowen Tang, Jing Peng, Tong Wu, Wenfan Wu et autres

Accurate recognition and reconstruction of chemical structures from molecular images is critical in cheminformatics, with applications spanning drug discovery, materials science, and patent analysis. However, much of this chemical matter exists in implicit forms that are not directly machine-readable, which limits its …

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A sensitivity enhancement method for time–frequency system integrity monitoring based on incremental update factor graph

Yu Hang Guo, Ming Ma, Jing Peng, Hang Gong et autres

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A parallel computing framework for common services of power grid computational deduction

Zheng Li, Zhe Li, Fujun Qi, Jing Peng

With the construction of new power system, the original hierarchical structure of the power grid has been broken. The operation mode of power grid is becoming increasingly complex. The traditional power grid computational deduction methods are no longer suitable for the actual …

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Research on the evaluation method of whole process engineering consulting service modes based on uncertain multiple-attribute group decision-making

Xia Wang, Yingxia Hou, Jing Peng, Jiekun Hu

With the continuous development of the economy and society, the engineering construction industry has experienced rapid growth, and higher requirements have been put forward for engineering consulting services. Currently, most engineering consulting service enterprises in China only provide relevant consulting services for …

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A LSTM-Based Fall Prediction Method Using IMU

Jing Peng, Xianmin Zhang, Hai Li

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3D Face Modeling Algorithm for Film and Television Animation Based on Lightweight Convolutional Neural Network

Cheng Di, Jing Peng, Yihua Di, Siwei Wu

Through the analysis of facial feature extraction technology, this paper designs a lightweight convolutional neural network (LW‐CNN). The LW‐CNN model adopts a separable convolution structure, which can propose more accurate features with fewer parameters and can extract 3D feature points of a …

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Velocity Prediction Method of Quadrotor UAV Based on BP Neural Network

Jing Peng, Ping Zhang

This paper proposes a method based on BP neural network to predict the velocity of quadrotor UAV, which can effectively solve the problem of velocity error accumulation overtime during the process of inertial navigation of quadrotor UAV. Through dynamics analysis, it is …

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Nonlinear unmanned aerial vehicle formation control via composite Laplacian quadratics

Jing Peng, Fei Chen

This article studies a leader‐following formation control problem, in which the agent model is governed by continuous‐time nonlinear differential equations. We are interested in designing a distributed control algorithm which is capable of handling the strong nonlinearities induced by the unmanned aerial …

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UAV Positioning Based on Multi-Sensor Fusion

Jing Peng, Ping Zhang, Lanxiang Zheng, Jia Tan

Real-time and stable positioning data is essential for the UAV to perform various tasks. The traditional multi-sensor data fusion algorithm needs to know the measurement noise of sensor data, and even if there are corresponding adaptive methods to estimate the noise, most …

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Web Crawler of Power Grid Based on Selenium

Jing Peng, Ma Yi, Fangrong Zhou, Shengli Wang et autres

Power grid companies have a massive amount of structured data that possesses potential appliance value. To protect information safety, power grid companies isolate their intranet from internet and require strong authentication to access databases. We developed a web crawler system to collect …

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Coupling logistic model tree and random subspace to predict the landslide susceptibility areas with considering the uncertainty of environmental features

Xiangang Luo, Feikai Lin, Yihong Chen, Shuang Zhu et autres

Landslide disasters cause huge casualties and economic losses every year, how to accurately forecast the landslides has always been an important issue in geo-environment research. In this paper, a hybrid machine learning approach RSLMT is firstly proposed by coupling Random Subspace (RS) …

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Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors

Xiangang Luo, Feikai Lin, Mengliang Yu, Zhuo D. Zhang et autres

The fragile ecological environment near mines provide advantageous conditions for the development of landslides. Mine landslide susceptibility mapping is of great importance for mine geo-environment control and restoration planning. In this paper, a total of 493 landslides in Shangli County, China were …

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