Yongbo Li's research while affiliated with China University of Geosciences and other places

Publications (18)

Article
The non-contact alternating current (AC) impedance method is widely used in the study of electrochemical properties of cement-based materials,the instrument of this paper provide a new way for the study of pore structure of cement-based materials. Due to the loss of magnetic materials and the parasitic capacitance of measuring circuit, the ratio di...
Article
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To understand surrounding scenes accurately, the semantic segmentation of images is vital in autonomous driving tasks, such as navigation, and route planning. Currently, convolutional neural networks (CNN) are widely employed in semantic segmentation to perform precise prediction in the dense pixel level. A recent trend in network design is the sta...
Article
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Three-dimensional hand detection from a single RGB-D image is an important technology which supports many useful applications. Practically, it is challenging to robustly detect human hands in unconstrained environments because the RGB-D channels can be affected by many uncontrollable factors, such as light changes. To tackle this problem, we propos...
Article
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In this paper, we mainly study the application of a multi-objective optimization algorithm based on the black hole algorithm in motor optimization. Using the combination of global search and local search, the continuous search area is better. The random search method is used in the global search, and a momentum gradient method is used in the local...
Article
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Hand detection is a crucial pre-processing procedure for many human hand related computer vision tasks, such as hand pose estimation, hand gesture recognition, human activity analysis, and so on. However, reliably detecting multiple hands from cluttering scenes remains to be a challenging task because of complex appearance diversities of dexterous...
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Hand pose estimation is a critical technology of computer vision and human-computer interaction. Deep-learning methods require a considerable amount of tagged data. Accordingly, numerous labeled training data are required. This paper aims to generate depth hand images. Given a ground-truth 3D hand pose, the developed method can generate depth hand...
Preprint
Hand pose estimation is a critical technology of computer vision and human-computer interaction. Deep learning methods require a considerable amount of tagged data. Accordingly, numerous labeled training data are required. This paper aims to generate depth hand images. Given a ground truth 3D hand pose, the developed method can generate depth hand...
Article
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We present a super perception system of intelligent vehicles for perceiving occluded street objects by collecting images from neighbor front vehicles V2V (vehicle to vehicle) video streams based on 3D projection model. This super power can avoid some serious accidents of driver-assistant systems or automatic driving systems which can only detect vi...
Article
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This paper proposes a new multiobjective evolutionary algorithm based on the black hole algorithm with a new individual density assessment (cell density), called “adaptive multiobjective black hole algorithm” (AMOBH). Cell density has the characteristics of low computational complexity and maintains a good balance of convergence and diversity of th...
Article
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Percussive-rotary drilling is an effective method for the hard rock drilling. As hydraulic and pneumatic hammers have many problems especially in the deep core drilling, a new electromagnetic hammer driven by a tube linear motor is introduced in this study. The study mainly covers the mechanical structure and electromagnetic design of the hammer, r...
Article
In view of the present pipe cold-centering processing system, the present situation of the low degree of automation and the deviation from the center position, this research intends to design a kind of tube billet cold-centering processing system based on laser measurement. The system adopts a movable, high-precision laser displacement sensor to th...
Article
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Selective micro heat sintering (SMHS)-type 3D printing technology is a widely applied method in rapid prototyping, which uses an electric heating component to sinter non-metallic powder. It requires precise control of the heating component's energy and its sintering time. Temperature is one of the key factors that affect the forming quality of fuse...
Article
In the present work, a down-to-the-hole electric hammer driven by linear motor is reported for drilling engineering. It differs from the common hydraulic or pneumatic hammers in that it can be applied to some special occasions without circulating medium due to its independence of the drilling fluid. The impact stress caused by the reciprocating mot...

Citations

... In recent years, non-parametric modeling methods represented by machine learning have also been applied to motor modeling, such as support vector machines (SVM) [9], random forest (RF) [10], artificial neural networks (ANN) [11], K near neighbor (KNN) [12], and extreme learning machine (ELM) approaches [13]. These methods have achieved good results in modeling the single electromagnetic field of PMLM with low dimensions. ...
... Другую проблему, связанную с распознаванием слитной речи, представляет так называемая эпентеза -межжестовые движения, возникающие в потоке речи [44]. Появление больших корпусов в свободном доступе (начиная с RWTHPHOENIX-Weather-2014 и других из табл. 1) сделало возможным применение методов Таблица 2. Оценка конфигурации кисти при помощи нейросетевых моделей В работе [51] представлена гибридная архитектура CNN для распознавания жестов в формате RGB-D, нейросетевая модель, которая извлекает пространственно-временные характеристики двух модальностей с использованием комбинации 3D CNN и LSTM. Временная информация входных данных модели кодируется с использованием двухпоточной архитектуры, основанной на уменьшенной модели сети ResNet-10. ...
... In this work, the local with the momentum gradient technique is used; on the other hand, the global search is used with the random search approach. Furthermore, to make the optimization effect global, a new file management method is used [60]. The proposed method got better results compared to other methods. ...
... The human hand is extremely crucial when individuals communicate with one another and with their surroundings in ordinary living. To recognize hand movements and human activities, the location and direction of the human hand must be carefully observed and recorded [1]. The ability to accurately identify hands in images and videos can support a wide range of visual processing tasks, including gesture and scene understanding. ...
... In [30], they proposed a data-driven approach to generate depth hand images given ground-truth hand poses using a generative model. The style transfer is applied to generate the image with the style equivalent to the style image and the content from the content image. ...
... However, it is difficult to determine an appropriate universe in a fuzzy model. A smaller universe domain could cause slow adjustment under large deviation and deviation variations, whereas a larger one is likely to produce a steady-state error [53][54][55]. ...
... However, this method only make sense when the vehicles are both in the same lane. The authors of [19] introduced a method which can "see through" the forward vehicle by adopting affine transformation to fuse images from adjacent vehicles, no matter if they are in same lane or not. However, deviation in the occluded object's location and size always exists. ...
... Then, The Shannon entropy used to determine the evolutionary strategies and status. Finally, to estimate the robustness of solutions by combining the cell density with dominance strength evaluation [49]. ...
... e mathematical modeling of the DTH hammer is mainly based on a one-dimensional gas flow equation of state, energy conservation equation, continuous equation in the front and rear chambers, and piston motion differential equation [23][24][25]. e piston movement distance can be calculated by selecting the time step, and the state parameters in each time step can be regarded as those in a quasi-static process ( Figure 4). ...