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Search Results: 1 - 10 of 127185 matches for " Yanwei Li "
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Industrial X-Ray Image Enhancement Algorithm based on AH and MSR  [PDF]
Wei Jie, Wang Dada, Yanwei Wang, Jin Li, Wang Lei, Hong Liang
Engineering (ENG) , 2011, DOI: 10.4236/eng.2011.310129
Abstract: An X-ray image enhancement algorithm based on AH(adaptive histogram) and MSR( Multi-scale Retinex )algorithm is proposed in this paper for the industrial X-ray image, which contrast is low, and the detail features is poor. Firstly, the contrast limited adaptive histogram equalization and neighborhood algorithm is used for the image. Then the mapping is built between the image and the detail scales by the enhance function ratio rules, which is adjusted by the local contracting information. Finally, according the enhance function radios, the reconstructed image is rebuild. Compared with other image enhancement algorithms, experimental results show that our algorithm can improve the global image effectively, moreover it overcomes the visible artifacts of X-ray image. Therefore, the x-ray image becomes clearer, and a better perceptual image is acquired for the image feature recognizing and matching.
A Cluster-Based Consensus Algorithm in a Wireless Sensor Network
Yanwei Li,Zhenyu Zhou,Takuro Sato
International Journal of Distributed Sensor Networks , 2013, DOI: 10.1155/2013/547124
Abstract:
Evolution of microstructure in centrifugal cast Al-Cu alloy
Sui Yanwei,Li Bangsheng,Liu Aihui
China Foundry , 2010,
Abstract: In this research, the effects of centrifugal radius and mould rotation speed on microstructure in centrifugal-cast Al-Cu alloy have been investigated. The results show that, with increase of the centrifugal radius or mould rotation speed, the grain size of centrifugal-cast Al-Cu alloy decreases gradually, while the content of white phases containing the Al2Cu precipitated from α-phase, divorced eutectic and regular eutectic microstructure increases, leading to higher Cu macrosegregation. The variation level of microstructure in centrifugal-cast Al-Cu alloy at 600 rpm of mould rotation speed is greater than that at 300 rpm.
Numerical simulation of interfacial reaction between titanium and zirconia
Liu Aihui,Li Bangsheng,Sui Yanwei
China Foundry , 2010,
Abstract: Based on the conservation laws of energy and mass, and taking into account the effect of chemical reaction between liquid titanium and zirconia ceramic mold on the concentration field and the temperature field, a comprehensive mathematical model for numerical simulation of heat and mass transfer has been established to study the interfacial reaction between liquid Ti and ZrO2 ceramic mold. With the proposed model, numerical simulations were preformed to investigate the effects of pouring temperature and holding time on the oxygen concentrations and reactive layer thickness in metal. The results showed that both the oxygen concentration and the thickness of reactive layer in metal increase with the increase of the holding time and the pouring temperature. The development of reactive layer thickness with time consists of three stages: inoculation (0-1 s), linear increase (1-5 s) and parabolic increase (after 5 s).
Learning Sampling Distributions for Efficient Object Detection
Yanwei Pang,Jiale Cao,Xuelong Li
Computer Science , 2015,
Abstract: Object detection is an important task in computer vision and learning systems. Multistage particle windows (MPW), proposed by Gualdi et al., is an algorithm of fast and accurate object detection. By sampling particle windows from a proposal distribution (PD), MPW avoids exhaustively scanning the image. Despite its success, it is unknown how to determine the number of stages and the number of particle windows in each stage. Moreover, it has to generate too many particle windows in the initialization step and it redraws unnecessary too many particle windows around object-like regions. In this paper, we attempt to solve the problems of MPW. An important fact we used is that there is large probability for a randomly generated particle window not to contain the object because the object is a sparse event relevant to the huge number of candidate windows. Therefore, we design the proposal distribution so as to efficiently reject the huge number of non-object windows. Specifically, we propose the concepts of rejection, acceptance, and ambiguity windows and regions. This contrasts to MPW which utilizes only on region of support. The PD of MPW is acceptance-oriented whereas the PD of our method (called iPW) is rejection-oriented. Experimental results on human and face detection demonstrate the efficiency and effectiveness of the iPW algorithm. The source code is publicly accessible.
Cascade Learning by Optimally Partitioning
Yanwei Pang,Jiale Cao,Xuelong Li
Computer Science , 2015,
Abstract: Cascaded AdaBoost classifier is a well-known efficient object detection algorithm. The cascade structure has many parameters to be determined. Most of existing cascade learning algorithms are designed by assigning detection rate and false positive rate to each stage either dynamically or statically. Their objective functions are not directly related to minimum computation cost. These algorithms are not guaranteed to have optimal solution in the sense of minimizing computation cost. On the assumption that a strong classifier is given, in this paper we propose an optimal cascade learning algorithm (we call it iCascade) which iteratively partitions the strong classifiers into two parts until predefined number of stages are generated. iCascade searches the optimal number ri of weak classifiers of each stage i by directly minimizing the computation cost of the cascade. Theorems are provided to guarantee the existence of the unique optimal solution. Theorems are also given for the proposed efficient algorithm of searching optimal parameters ri. Once a new stage is added, the parameter ri for each stage decreases gradually as iteration proceeds, which we call decreasing phenomenon. Moreover, with the goal of minimizing computation cost, we develop an effective algorithm for setting the optimal threshold of each stage classifier. In addition, we prove in theory why more new weak classifiers are required compared to the last stage. Experimental results on face detection demonstrate the effectiveness and efficiency of the proposed algorithm.
Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry
Jiale Cao,Yanwei Pang,Xuelong Li
Computer Science , 2015,
Abstract: The discrimination and simplicity of features are very important for effective and efficient pedestrian detection. However, most state-of-the-art methods are unable to achieve good tradeoff between accuracy and efficiency. Inspired by some simple inherent attributes of pedestrians (i.e., appearance constancy and shape symmetry), we propose two new types of non-neighboring features (NNF): side-inner difference features (SIDF) and symmetrical similarity features (SSF). SIDF can characterize the difference between the background and pedestrian and the difference between the pedestrian contour and its inner part. SSF can capture the symmetrical similarity of pedestrian shape. However, it's difficult for neighboring features to have such above characterization abilities. Finally, we propose to combine both non-neighboring and neighboring features for pedestrian detection. It's found that non-neighboring features can further decrease the average miss rate by 4.44%. Experimental results on INRIA and Caltech pedestrian datasets demonstrate the effectiveness and efficiency of the proposed method. Compared to the state-of-the-art methods without using CNN, our method achieves the best detection performance on Caltech, outperforming the second best method (i.e., Checkboards) by 1.63%.
Optimization of the Recommended Time for Rectal Temperature Measurement in Children: An Observational Study  [PDF]
Qian Zhao, Yanwei Li, Leshan Zhou
Open Journal of Pediatrics (OJPed) , 2019, DOI: 10.4236/ojped.2019.92015
Abstract: Background: This study aimed to determine the optimum time required to measure rectal temperature in children with mercury-in-glass thermometers. Methods: This cross-sectional observational study involved a random sample of pediatric patients ≤5 years of age. Body temperature was measured for 3 - 5 minutes using standard mercury-in-glass rectal thermometers. Outcomes were rectal body temperatures at 1, 2, and 3 minutes until reaching a stable rectal temperature, and the final rectal temperature. Results: This study recruited 120 children. Mean time to reach a stable rectal temperature was 1.8 minutes (range: 30 seconds to five minutes). 90% of pediatric patients’ temperature came out within ±0.1°C of the final temperature at two minutes. There was no correlation between the time taken to reach a stable rectal temperature and age, body weight, gender, or the final temperature. Conclusion: Mercury-in-glass thermometers can be used to obtain accurate rectal temperature measurements at two minutes in routine pediatric practice.
Moving Object Detection in Video Using Saliency Map and Subspace Learning
Yanwei Pang,Li Ye,Xuelong Li,Jing Pan
Computer Science , 2015,
Abstract: Moving object detection is a key to intelligent video analysis. On the one hand, what moves is not only interesting objects but also noise and cluttered background. On the other hand, moving objects without rich texture are prone not to be detected. So there are undesirable false alarms and missed alarms in many algorithms of moving object detection. To reduce the false alarms and missed alarms, in this paper, we propose to incorporate a saliency map into an incremental subspace analysis framework where the saliency map makes estimated background has less chance than foreground (i.e., moving objects) to contain salient objects. The proposed objective function systematically takes account into the properties of sparsity, low-rank, connectivity, and saliency. An alternative minimization algorithm is proposed to seek the optimal solutions. Experimental results on the Perception Test Images Sequences demonstrate that the proposed method is effective in reducing false alarms and missed alarms.
Anti-Money Laundering Regulation of China’s Mobile Payment and Settlement Industry  [PDF]
Yanwei Wang, Yangchao Ou
Open Journal of Social Sciences (JSS) , 2015, DOI: 10.4236/jss.2015.311033
Abstract: In recent years, with the continuous advance of payment equipment and technologies like China’s internet Finance, Big Data and Mobile Network, the anonymity, rapidity and cross-border transaction of mobile payment business have also brought many money laundering risks. Therefore, it is necessary to strengthen cooperation with the supervision organization of international payment and anti-money laundering business, and meanwhile to constantly improve the supervision mechanism of China’s payment and anti-money laundering business.
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