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Search Results: 1 - 10 of 87131 matches for " Gang Chen "
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The Exploration of College Students’ Honesty Education Curriculum System Constructing  [PDF]
Gang Chen, Degang Sun
Creative Education (CE) , 2014, DOI: 10.4236/ce.2014.58067
Abstract:

College students are the builders and successors of the socialist cause, age and reality requires college students to become the high integrity quality group. Construction of college students’ honesty education curriculum system can help students establish good faith consciousness and improve their own quality. Education curriculum system construction is a system engineering, teaching content should be scientific, vivid, to be flexible and varied teaching methods, establish and form a complete set of classroom teaching practice teaching link, strengthening teaching management, scientific appraisal, the development of corpus function is needed while paying attention to the quality of teachers.

Taurine Protects Gut Barrier Function and Prevents Endothelial Cell Injury Induced by Ischaemia-Reperfusion  [PDF]
Hong Chen, Gang Chen, Claire Condron
Food and Nutrition Sciences (FNS) , 2017, DOI: 10.4236/fns.2017.86048
Abstract: Purpose: Gut permeability and microvascular injury following ischaemia/reperfusion (IR) have been implicated in the systemic inflammatory response syndrome (SIRS) and multiple organ failure (MOF). Taurine (TAU), a sulfur-containing amino acid, is a powerful antioxidant and regulator of intracellular calcium and several studies have established that treatment with TAU protects cerebral, cardiac and testicular tissue from (IR) injury. This study investigates the protective effect of taurine in an experimental model of I/R-induced gut injury in rats. Methods: Sprague-Dawley rats were randomized into three groups: Control, I/R, TAU + I/R. TAU was given by gavage or intravenous injection before I/R. Ischaemia was induced by cross-clamping superior mesenteric and coeliac vascular pedicle for 20 - 30 min, followed by 60 - 180 min reperfusion. Gut permeability, blood flux, tissue oedema, leucocytes infiltration and eNOS expression were measured at 3 hrs following reperfusion using FD4. Leukocyte-endothelial interactions were determined by intra-vital microscopy during I/R.
A Short Historical Survey of Functional Hardware Languages
Gang Chen
ISRN Electronics , 2012, DOI: 10.5402/2012/271836
Abstract:
Deep Transductive Semi-supervised Maximum Margin Clustering
Gang Chen
Computer Science , 2015,
Abstract: Semi-supervised clustering is an very important topic in machine learning and computer vision. The key challenge of this problem is how to learn a metric, such that the instances sharing the same label are more likely close to each other on the embedded space. However, little attention has been paid to learn better representations when the data lie on non-linear manifold. Fortunately, deep learning has led to great success on feature learning recently. Inspired by the advances of deep learning, we propose a deep transductive semi-supervised maximum margin clustering approach. More specifically, given pairwise constraints, we exploit both labeled and unlabeled data to learn a non-linear mapping under maximum margin framework for clustering analysis. Thus, our model unifies transductive learning, feature learning and maximum margin techniques in the semi-supervised clustering framework. We pretrain the deep network structure with restricted Boltzmann machines (RBMs) layer by layer greedily, and optimize our objective function with gradient descent. By checking the most violated constraints, our approach updates the model parameters through error backpropagation, in which deep features are learned automatically. The experimental results shows that our model is significantly better than the state of the art on semi-supervised clustering.
Deep Learning with Nonparametric Clustering
Gang Chen
Computer Science , 2015,
Abstract: Clustering is an essential problem in machine learning and data mining. One vital factor that impacts clustering performance is how to learn or design the data representation (or features). Fortunately, recent advances in deep learning can learn unsupervised features effectively, and have yielded state of the art performance in many classification problems, such as character recognition, object recognition and document categorization. However, little attention has been paid to the potential of deep learning for unsupervised clustering problems. In this paper, we propose a deep belief network with nonparametric clustering. As an unsupervised method, our model first leverages the advantages of deep learning for feature representation and dimension reduction. Then, it performs nonparametric clustering under a maximum margin framework -- a discriminative clustering model and can be trained online efficiently in the code space. Lastly model parameters are refined in the deep belief network. Thus, this model can learn features for clustering and infer model complexity in an unified framework. The experimental results show the advantage of our approach over competitive baselines.
Latent Fisher Discriminant Analysis
Gang Chen
Computer Science , 2013,
Abstract: Linear Discriminant Analysis (LDA) is a well-known method for dimensionality reduction and classification. Previous studies have also extended the binary-class case into multi-classes. However, many applications, such as object detection and keyframe extraction cannot provide consistent instance-label pairs, while LDA requires labels on instance level for training. Thus it cannot be directly applied for semi-supervised classification problem. In this paper, we overcome this limitation and propose a latent variable Fisher discriminant analysis model. We relax the instance-level labeling into bag-level, is a kind of semi-supervised (video-level labels of event type are required for semantic frame extraction) and incorporates a data-driven prior over the latent variables. Hence, our method combines the latent variable inference and dimension reduction in an unified bayesian framework. We test our method on MUSK and Corel data sets and yield competitive results compared to the baseline approach. We also demonstrate its capacity on the challenging TRECVID MED11 dataset for semantic keyframe extraction and conduct a human-factors ranking-based experimental evaluation, which clearly demonstrates our proposed method consistently extracts more semantically meaningful keyframes than challenging baselines.
Dependent type system with subtyping (I) type level transitivity elimination
Dependent Type System with Subtyping (I)Type Level Transitivity Elimination

Chen Gang,
Chen
,Gang

计算机科学技术学报 , 1998,
Abstract: Dependent type systems are the basis of many proof development environments. In Aspinall and Compagnoni's paper, a system λP ≤ is proposed as a subtyping extension of the first order dependent type system λP (also called λΠ). λP ≤, has nice meta-theoretic properties including subject reduction and decidability. In this article, we give a reformulation of λP ≤, called λΠ≤. The advantages of λΠ≤ include: type level transitivity elimination property and pretype-based subtyping system. These features considerably facilitate the meta-theoretical study and further extensions of this system. This work is supported by Programme PRA M4, Association Franco-Chinoise pour la Recherche Scientifique et Technique, and Bourse du Ministère des Affaires Etrangères du Gouvernment Fran?ais. Due to the limitation of the pages of the journal, this paper has been splited into two parts. This is the first part of the paper. The second part will appear on Vol. 14, No. 2 or No.3 of this journal. Chen Gang received the B.S. degree from Department of Mathematics, Zhejiang University; the M.S. degree from Department of Computer Science, Peking University. He is presently a Ph.D. candidate in computer science at University Paris 7 and Ecole Normale Supérieure, Paris. His research interests include type theory, subtyping, proof assistant, object-oriented programming language and artificial intelligence.
Research on Agricultural Products Cold Chain Logistics Safety Supervision System: Mechanism Improvement and Supervision Measures  [PDF]
Xin’gang Weng, Jiuyi An, Weifeng Chen
Journal of Service Science and Management (JSSM) , 2015, DOI: 10.4236/jssm.2015.86091
Abstract: With the widespread concern in the community and increased government supervision, Chinese cold chain logistics quality and safety of agricultural products are being constantly improved, but quality safety management work of cold chain logistics of agricultural products started lately in China. There are many constraints, and the management is difficult, so the quality and safety supervision of agricultural products cold chain logistics is still inadequate. Based on the system analysis of agricultural products, the paper proposes mechanism improvement of cold chain logistics of agricultural products and analyzes measures of safety supervision system of cold chain logistics of agricultural products.
Dynamic Analysis of Soil Structure Interaction Effect on Multi Story RC Frame  [PDF]
Hailu Getachew Kabtamu, Gang Peng, Denghong Chen
Open Journal of Civil Engineering (OJCE) , 2018, DOI: 10.4236/ojce.2018.84030
Abstract: In this study dynamic analysis of Soil Structure Interaction (SSI) effect on multi story reinforced concrete (RC) frame founded on soft soil (flexible base) is made and compared with fixed base. Two model 2D RC frames with 7 and 12 story are selected for analysis. Winkler Spring and half space direct method models are used for flexible base for the frames founded on two types of soft soils with shear velocity Vs < 150 m/s Asper Seismic Codes of Chinese GB50011-2010 Soil IV and Ethiopian ES8-2015 soil D. The frames are subjected to strong ground motion matched to response spectrums of soft soil of Chinese GB50011-2010 and Ethiopian ES8-2015 for linear time history analysis. The dynamic analysis result shows Spring and Fixed base mass participation 90% reaches in 2 or 3 modes but in direct method 11 to 30 modes for story 12 and 7 respectively. However, both flexible base models have bigger fundamental period of vibration and inter story drift but smaller base shear than fixed base. In addition, within the flexible base models the inter-story drift, second order effect (P-Δ) and Story shear distribution are different along the height of frames. The spring model shows larger Story drift and second order effect (P-Δ) at the bottom of Story for both soft soils types. On the other hand, half space direct method model indicates value reverse to spring model; it gives bigger Story drift and P-Δ effect in the top stories than fixed base. Finally, this study concludes that base shear reduction due to SSI may not be always beneficial. Because the gravity load is constant in both fixed and flexible bases that cause bigger P-Δ effect at the bottom stories due to increase, inter story drift and decrease story shear in flexible base.
Natural Radioactivity in Miscanthus floridulu Plant from the Uranium Tailing Pile at Guangdong, South China  [PDF]
Gang Song, Qiuping Zhu, Minxing Lu, Diyun Chen, Yongheng Chen
Journal of Applied Mathematics and Physics (JAMP) , 2014, DOI: 10.4236/jamp.2014.29095
Abstract:

Large amounts of uranium waste rocks and tailings resulting from the exploitation and treatment of uranium ore at the Northern Guangdong mine (South China) have been accumulated in dams (tailing ponds). To reduce the dispersion of natural radionuclides into the environment, some dams were revegetated with arbor, bush and sward. Besides these plants, Miscanthus floridulu is the dominant plant growing in some of the dams. The uptake and distribution of naturally occurring uranium (238U), thorium (232Th), radium (226Ra) and potassium (40K) by Miscanthus floridulu plant from different sample sites of uranium mine were studied under native conditions. The bioconcentration factors (BCFs) of soil to Miscanthus floridulu above-ground and root were calculated and observed to be in the range of 0.14 to 7.74 and 2.71 to 17.83 for 238U, 0 to 3.02 and 0 to 3.29 for 232Th, 0.15 to 79.76 and 1.01 to 50.22 for 226Ra and 3.00 to 8.41 and 2.69 to 11.22 for 40K, respectively. The transfer factors (TFs) of Miscanthus floridulu root to aboveground were also calculated and observed to be in the range of 0.01 to 0.73 for 238U, 0 to 0.99 for 232Th, 0.08 to 1.50 for 226Ra and 0.57 to 1.94 for 40K, respectively. The results showed that, Miscanthus floridulu is 238U and 226Ra-accumulating plant with significant absorption and accumulation characteristics.

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